Roger-luo/report.md

## report.md

      
    Raw
  

              report.md
            
          
    Benchmark Report for YaoArrayRegister

Job Properties


Time of benchmarks:

Target: 22 May 2019 - 20:28
Baseline: 22 May 2019 - 20:57


Package commits:

Target: fa170b
Baseline: 852664


Julia commits:

Target: 80516c
Baseline: 80516c


Julia command flags:

Target: -O3
Baseline: -O3


Environment variables:

Target: JULIA_NUM_THREADS => 4
Baseline: JULIA_NUM_THREADS => 1


Results

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less
than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results
that indicate possible regressions or improvements - are shown below (thus, an empty table means that all
benchmark results remained invariant between builds).


ID
time ratio
memory ratio


["matrices", "contiguous", "ordered", "(1, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
5.66 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "ordered", "(1, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
5.84 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "ordered", "(1, \"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\")"]
5.80 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "ordered", "(1, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
2.42 (5%) ❌
0.45 (1%) ✅


["matrices", "contiguous", "ordered", "(1, \"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\")"]
6.12 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "ordered", "(1, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
4.82 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "ordered", "(3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.11 (5%) ❌
1.00 (1%)


["matrices", "contiguous", "ordered", "(3, \"Complex{Float64}\", \"SArray{Tuple{8,8},Complex{Float64},2,64}\")"]
0.95 (5%) ✅
1.00 (1%)


["matrices", "contiguous", "ordered", "(3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.99 (5%)
0.98 (1%) ✅


["matrices", "contiguous", "ordered", "(5, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.95 (5%) ✅
1.00 (1%)


["matrices", "contiguous", "ordered", "(5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.10 (5%) ❌
1.00 (1%)


["matrices", "contiguous", "ordered", "(7, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.93 (5%) ✅
1.00 (1%)


["matrices", "contiguous", "ordered", "(7, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.09 (5%) ❌
1.00 (1%)


["matrices", "contiguous", "random", "(1, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
4.85 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "random", "(1, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
4.82 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "random", "(1, \"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\")"]
5.61 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "random", "(1, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
2.00 (5%) ❌
0.45 (1%) ✅


["matrices", "contiguous", "random", "(1, \"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\")"]
4.89 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "random", "(1, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
4.05 (5%) ❌
Inf (1%) ❌


["matrices", "contiguous", "random", "(3, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.92 (5%) ✅
1.00 (1%)


["matrices", "contiguous", "random", "(3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.97 (5%)
0.99 (1%) ✅


["matrices", "contiguous", "random", "(3, \"Complex{Float64}\", \"MArray{Tuple{8,8},Complex{Float64},2,64}\")"]
0.84 (5%) ✅
0.82 (1%) ✅


["matrices", "contiguous", "random", "(3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.05 (5%) ❌
1.00 (1%)


["matrices", "contiguous", "random", "(3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.99 (5%)
0.98 (1%) ✅


["matrices", "contiguous", "random", "(5, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.06 (5%) ❌
1.00 (1%)


["matrices", "contiguous", "random", "(5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.01 (5%)
0.97 (1%) ✅


["matrices", "contiguous", "random", "(7, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
1.16 (5%) ❌
1.00 (1%)


["matrices", "contiguous", "random", "(7, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.92 (5%) ✅
1.00 (1%)


["matrices", "contiguous", "random", "(7, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.94 (5%) ✅
1.04 (1%) ❌


["matrices", "contiguous", "random", "(9, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.82 (5%) ✅
1.00 (1%)


["matrices", "contiguous", "random", "(9, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.77 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(1, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.12 (5%) ❌
1.12 (1%) ❌


["matrices", "controlled", "ordered", "(1, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.13 (5%) ❌
1.11 (1%) ❌


["matrices", "controlled", "ordered", "(3, 3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
1.07 (5%) ❌
1.00 (1%)


["matrices", "controlled", "ordered", "(3, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.98 (5%)
0.98 (1%) ✅


["matrices", "controlled", "ordered", "(3, 5, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
1.06 (5%) ❌
1.00 (1%)


["matrices", "controlled", "ordered", "(3, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.92 (5%) ✅
1.03 (1%) ❌


["matrices", "controlled", "ordered", "(5, 5, \"Complex{Float64}\", \"MArray{Tuple{32,32},Complex{Float64},2,1024}\")"]
0.91 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(7, 3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.11 (5%) ❌
1.00 (1%)


["matrices", "controlled", "ordered", "(7, 5, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.93 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(7, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.92 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(9, 3, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.95 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(9, 3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.91 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(9, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.94 (5%) ✅
1.00 (1%)


["matrices", "controlled", "ordered", "(9, 5, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.94 (5%) ✅
1.00 (1%)


["matrices", "controlled", "random", "(1, 3, \"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\")"]
1.09 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(1, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.10 (5%) ❌
1.12 (1%) ❌


["matrices", "controlled", "random", "(1, 5, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
1.05 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(1, 5, \"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\")"]
1.06 (5%) ❌
0.99 (1%)


["matrices", "controlled", "random", "(1, 5, \"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\")"]
1.09 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(1, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.08 (5%) ❌
1.11 (1%) ❌


["matrices", "controlled", "random", "(3, 3, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
1.08 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(3, 3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.98 (5%)
0.99 (1%) ✅


["matrices", "controlled", "random", "(3, 3, \"Complex{Float64}\", \"MArray{Tuple{8,8},Complex{Float64},2,64}\")"]
1.06 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(3, 3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.15 (5%) ❌
1.04 (1%) ❌


["matrices", "controlled", "random", "(3, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.94 (5%) ✅
0.89 (1%) ✅


["matrices", "controlled", "random", "(3, 5, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
1.06 (5%) ❌
0.99 (1%)


["matrices", "controlled", "random", "(3, 5, \"Complex{Float64}\", \"MArray{Tuple{8,8},Complex{Float64},2,64}\")"]
1.09 (5%) ❌
1.20 (1%) ❌


["matrices", "controlled", "random", "(3, 5, \"Complex{Float64}\", \"SArray{Tuple{8,8},Complex{Float64},2,64}\")"]
1.10 (5%) ❌
1.01 (1%) ❌


["matrices", "controlled", "random", "(3, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.05 (5%) ❌
1.03 (1%) ❌


["matrices", "controlled", "random", "(5, 3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
1.12 (5%) ❌
0.99 (1%)


["matrices", "controlled", "random", "(5, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.03 (5%)
1.04 (1%) ❌


["matrices", "controlled", "random", "(5, 5, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
1.08 (5%) ❌
0.99 (1%)


["matrices", "controlled", "random", "(5, 5, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
1.01 (5%)
0.99 (1%) ✅


["matrices", "controlled", "random", "(5, 5, \"Complex{Float64}\", \"SArray{Tuple{32,32},Complex{Float64},2,1024}\")"]
1.07 (5%) ❌
1.01 (1%)


["matrices", "controlled", "random", "(7, 3, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.91 (5%) ✅
1.00 (1%)


["matrices", "controlled", "random", "(7, 3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.97 (5%)
1.03 (1%) ❌


["matrices", "controlled", "random", "(7, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.97 (5%)
0.99 (1%) ✅


["matrices", "controlled", "random", "(7, 5, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
1.10 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(7, 5, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.02 (5%)
1.02 (1%) ❌


["matrices", "controlled", "random", "(7, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.92 (5%) ✅
1.00 (1%)


["matrices", "controlled", "random", "(9, 3, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
1.17 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(9, 3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.98 (5%)
0.96 (1%) ✅


["matrices", "controlled", "random", "(9, 3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.11 (5%) ❌
1.00 (1%)


["matrices", "controlled", "random", "(9, 3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.88 (5%) ✅
1.00 (1%)


["matrices", "controlled", "random", "(9, 5, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.00 (5%) ✅
0.04 (1%) ✅


["matrices", "controlled", "random", "(9, 5, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.92 (5%) ✅
0.99 (1%)


["matrices", "in-contiguous", "ordered", "(1, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.73 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "ordered", "(1, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.84 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "ordered", "(1, \"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\")"]
0.53 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "ordered", "(1, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.66 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "ordered", "(1, \"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\")"]
0.63 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "ordered", "(1, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.91 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "ordered", "(2, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.95 (5%)
1.01 (1%) ❌


["matrices", "in-contiguous", "ordered", "(2, \"Complex{Float64}\", \"MArray{Tuple{4,4},Complex{Float64},2,16}\")"]
0.99 (5%)
0.99 (1%) ✅


["matrices", "in-contiguous", "ordered", "(2, \"Complex{Float64}\", \"SArray{Tuple{4,4},Complex{Float64},2,16}\")"]
0.96 (5%)
0.98 (1%) ✅


["matrices", "in-contiguous", "ordered", "(3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.96 (5%)
1.01 (1%) ❌


["matrices", "in-contiguous", "ordered", "(3, \"Complex{Float64}\", \"MArray{Tuple{8,8},Complex{Float64},2,64}\")"]
1.00 (5%)
0.99 (1%) ✅


["matrices", "in-contiguous", "ordered", "(3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.93 (5%) ✅
0.99 (1%) ✅


["matrices", "in-contiguous", "ordered", "(3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.94 (5%) ✅
0.97 (1%) ✅


["matrices", "in-contiguous", "random", "(1, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.89 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "random", "(1, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.71 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "random", "(1, \"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\")"]
0.99 (5%)
Inf (1%) ❌


["matrices", "in-contiguous", "random", "(1, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.14 (5%) ❌
Inf (1%) ❌


["matrices", "in-contiguous", "random", "(1, \"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\")"]
0.57 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "random", "(1, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.68 (5%) ✅
Inf (1%) ❌


["matrices", "in-contiguous", "random", "(2, \"Complex{Float64}\", \"Array{Complex{Float64},2}\")"]
0.98 (5%)
1.03 (1%) ❌


["matrices", "in-contiguous", "random", "(2, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
0.90 (5%) ✅
0.99 (1%) ✅


["matrices", "in-contiguous", "random", "(2, \"Complex{Float64}\", \"MArray{Tuple{4,4},Complex{Float64},2,16}\")"]
0.92 (5%) ✅
0.85 (1%) ✅


["matrices", "in-contiguous", "random", "(2, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
1.02 (5%)
0.98 (1%) ✅


["matrices", "in-contiguous", "random", "(2, \"Complex{Float64}\", \"SArray{Tuple{4,4},Complex{Float64},2,16}\")"]
1.12 (5%) ❌
1.17 (1%) ❌


["matrices", "in-contiguous", "random", "(2, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
1.09 (5%) ❌
1.09 (1%) ❌


["matrices", "in-contiguous", "random", "(3, \"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\")"]
1.01 (5%)
0.98 (1%) ✅


["matrices", "in-contiguous", "random", "(3, \"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\")"]
0.95 (5%)
1.01 (1%) ❌


["matrices", "in-contiguous", "random", "(3, \"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\")"]
0.95 (5%) ✅
0.96 (1%) ✅


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 1)"]
4.40 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 13)"]
0.40 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 17)"]
0.37 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 21)"]
0.87 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 25)"]
0.83 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 5)"]
3.82 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 9)"]
1.05 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 1)"]
4.79 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 13)"]
0.44 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 17)"]
0.36 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 21)"]
0.85 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 25)"]
0.55 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 5)"]
3.82 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 9)"]
1.28 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 1)"]
4.84 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 13)"]
0.46 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 17)"]
0.33 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 21)"]
0.81 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 25)"]
0.86 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 5)"]
3.91 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 9)"]
0.95 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 1)"]
3.14 (5%) ❌
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 13)"]
0.49 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 17)"]
0.85 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 21)"]
0.92 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 25)"]
0.94 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 5)"]
2.83 (5%) ❌
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 9)"]
1.23 (5%) ❌
1.45 (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 1)"]
4.65 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 13)"]
0.49 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 17)"]
0.35 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 21)"]
0.84 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 25)"]
0.83 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 5)"]
3.13 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 9)"]
1.00 (5%)
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 1)"]
4.06 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 13)"]
0.38 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 17)"]
0.36 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 21)"]
0.77 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 25)"]
0.81 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 5)"]
3.00 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "ordered", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 9)"]
0.97 (5%)
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 1)"]
4.69 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 13)"]
0.43 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 17)"]
0.34 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 21)"]
0.91 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 25)"]
0.92 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 5)"]
4.22 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Array{Complex{Float64},2}\", 9)"]
1.14 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 1)"]
5.59 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 13)"]
0.45 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 17)"]
0.77 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 21)"]
0.81 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 25)"]
0.94 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 5)"]
3.80 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"Diagonal{Complex{Float64},Array{Complex{Float64},1}}\", 9)"]
1.24 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 1)"]
5.02 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 13)"]
0.40 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 17)"]
1.16 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 21)"]
0.84 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 25)"]
0.87 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 5)"]
3.92 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"MArray{Tuple{2,2},Complex{Float64},2,4}\", 9)"]
1.58 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 1)"]
2.71 (5%) ❌
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 13)"]
0.70 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 17)"]
0.29 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 21)"]
0.80 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 25)"]
0.88 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 5)"]
2.66 (5%) ❌
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"PermMatrix{Complex{Float64},Int64,Array{Complex{Float64},1},Array{Int64,1}}\", 9)"]
0.85 (5%) ✅
1.45 (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 1)"]
4.77 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 13)"]
0.42 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 17)"]
0.31 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 21)"]
0.85 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 25)"]
0.90 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 5)"]
3.61 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SArray{Tuple{2,2},Complex{Float64},2,4}\", 9)"]
1.06 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 1)"]
4.10 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 13)"]
0.44 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 17)"]
0.35 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 21)"]
0.80 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 25)"]
0.80 (5%) ✅
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 5)"]
3.51 (5%) ❌
Inf (1%) ❌


["matrices", "single qubit", "random", "(\"Complex{Float64}\", \"SparseMatrixCSC{Complex{Float64},Int64}\", 9)"]
0.96 (5%)
Inf (1%) ❌


["specialized", "multi control", "(\"S\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.44 (5%) ✅
1.12 (1%) ❌


["specialized", "multi control", "(\"S\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.29 (5%) ✅
1.10 (1%) ❌


["specialized", "multi control", "(\"S\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.27 (5%) ✅
1.09 (1%) ❌


["specialized", "multi control", "(\"S\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.27 (5%) ✅
1.08 (1%) ❌


["specialized", "multi control", "(\"S\", 4, 2:4, (2, 3, 4))"]
2.87 (5%) ❌
1.17 (1%) ❌


["specialized", "multi control", "(\"S\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.68 (5%) ❌
1.14 (1%) ❌


["specialized", "multi control", "(\"Sdag\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.55 (5%) ✅
1.12 (1%) ❌


["specialized", "multi control", "(\"Sdag\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.41 (5%) ✅
1.10 (1%) ❌


["specialized", "multi control", "(\"Sdag\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.40 (5%) ✅
1.09 (1%) ❌


["specialized", "multi control", "(\"Sdag\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.36 (5%) ✅
1.08 (1%) ❌


["specialized", "multi control", "(\"Sdag\", 4, 2:4, (2, 3, 4))"]
2.94 (5%) ❌
1.17 (1%) ❌


["specialized", "multi control", "(\"Sdag\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.65 (5%) ❌
1.14 (1%) ❌


["specialized", "multi control", "(\"T\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.44 (5%) ✅
1.12 (1%) ❌


["specialized", "multi control", "(\"T\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.29 (5%) ✅
1.10 (1%) ❌


["specialized", "multi control", "(\"T\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.18 (5%) ✅
1.09 (1%) ❌


["specialized", "multi control", "(\"T\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.24 (5%) ✅
1.08 (1%) ❌


["specialized", "multi control", "(\"T\", 4, 2:4, (2, 3, 4))"]
2.93 (5%) ❌
1.17 (1%) ❌


["specialized", "multi control", "(\"T\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.65 (5%) ❌
1.14 (1%) ❌


["specialized", "multi control", "(\"Tdag\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.44 (5%) ✅
1.12 (1%) ❌


["specialized", "multi control", "(\"Tdag\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.19 (5%) ✅
1.10 (1%) ❌


["specialized", "multi control", "(\"Tdag\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.27 (5%) ✅
1.09 (1%) ❌


["specialized", "multi control", "(\"Tdag\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.26 (5%) ✅
1.08 (1%) ❌


["specialized", "multi control", "(\"Tdag\", 4, 2:4, (2, 3, 4))"]
2.96 (5%) ❌
1.17 (1%) ❌


["specialized", "multi control", "(\"Tdag\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.38 (5%) ❌
1.14 (1%) ❌


["specialized", "multi control", "(\"X\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.43 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"X\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"X\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.27 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"X\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.26 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"X\", 4, 2:4, (2, 3, 4))"]
4.89 (5%) ❌
Inf (1%) ❌


["specialized", "multi control", "(\"X\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.88 (5%) ❌
Inf (1%) ❌


["specialized", "multi control", "(\"Y\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.42 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"Y\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"Y\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.18 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"Y\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.18 (5%) ✅
Inf (1%) ❌


["specialized", "multi control", "(\"Y\", 4, 2:4, (2, 3, 4))"]
4.63 (5%) ❌
Inf (1%) ❌


["specialized", "multi control", "(\"Y\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.48 (5%) ❌
Inf (1%) ❌


["specialized", "multi control", "(\"Z\", 12, 2:12, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))"]
0.44 (5%) ✅
1.12 (1%) ❌


["specialized", "multi control", "(\"Z\", 16, 2:16, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16))"]
0.29 (5%) ✅
1.10 (1%) ❌


["specialized", "multi control", "(\"Z\", 20, 2:20, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))"]
0.27 (5%) ✅
1.09 (1%) ❌


["specialized", "multi control", "(\"Z\", 24, 2:24, (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24))"]
0.27 (5%) ✅
1.08 (1%) ❌


["specialized", "multi control", "(\"Z\", 4, 2:4, (2, 3, 4))"]
2.89 (5%) ❌
1.17 (1%) ❌


["specialized", "multi control", "(\"Z\", 8, 2:8, (2, 3, 4, 5, 6, 7, 8))"]
1.64 (5%) ❌
1.14 (1%) ❌


["specialized", "multi qubit multi control", "(\"S\", 12, 4)"]
0.44 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"S\", 16, 5)"]
0.31 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"S\", 20, 6)"]
0.25 (5%) ✅
1.14 (1%) ❌


["specialized", "multi qubit multi control", "(\"S\", 24, 8)"]
0.27 (5%) ✅
1.13 (1%) ❌


["specialized", "multi qubit multi control", "(\"S\", 4, 2)"]
3.00 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"S\", 8, 3)"]
1.67 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"Sdag\", 12, 4)"]
0.52 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"Sdag\", 16, 5)"]
0.40 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"Sdag\", 20, 6)"]
0.46 (5%) ✅
1.14 (1%) ❌


["specialized", "multi qubit multi control", "(\"Sdag\", 24, 8)"]
0.40 (5%) ✅
1.13 (1%) ❌


["specialized", "multi qubit multi control", "(\"Sdag\", 4, 2)"]
3.03 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"Sdag\", 8, 3)"]
1.63 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"T\", 12, 4)"]
0.41 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"T\", 16, 5)"]
0.31 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"T\", 20, 6)"]
0.38 (5%) ✅
1.14 (1%) ❌


["specialized", "multi qubit multi control", "(\"T\", 24, 8)"]
0.29 (5%) ✅
1.13 (1%) ❌


["specialized", "multi qubit multi control", "(\"T\", 4, 2)"]
3.34 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"T\", 8, 3)"]
1.37 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"Tdag\", 12, 4)"]
0.35 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"Tdag\", 16, 5)"]
0.29 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"Tdag\", 20, 6)"]
0.19 (5%) ✅
1.14 (1%) ❌


["specialized", "multi qubit multi control", "(\"Tdag\", 24, 8)"]
0.34 (5%) ✅
1.13 (1%) ❌


["specialized", "multi qubit multi control", "(\"Tdag\", 4, 2)"]
2.95 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"Tdag\", 8, 3)"]
1.35 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"X\", 12, 4)"]
0.39 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"X\", 16, 5)"]
0.29 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"X\", 20, 6)"]
0.31 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"X\", 24, 8)"]
0.30 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"X\", 4, 2)"]
4.95 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"X\", 8, 3)"]
1.68 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Y\", 12, 4)"]
0.46 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Y\", 16, 5)"]
0.31 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Y\", 20, 6)"]
0.29 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Y\", 24, 8)"]
0.34 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Y\", 4, 2)"]
4.78 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Y\", 8, 3)"]
1.62 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit multi control", "(\"Z\", 12, 4)"]
0.46 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"Z\", 16, 5)"]
0.29 (5%) ✅
1.15 (1%) ❌


["specialized", "multi qubit multi control", "(\"Z\", 20, 6)"]
0.30 (5%) ✅
1.14 (1%) ❌


["specialized", "multi qubit multi control", "(\"Z\", 24, 8)"]
0.26 (5%) ✅
1.13 (1%) ❌


["specialized", "multi qubit multi control", "(\"Z\", 4, 2)"]
2.94 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit multi control", "(\"Z\", 8, 3)"]
1.42 (5%) ❌
1.17 (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", 12)"]
0.50 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", 16)"]
0.35 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", 20)"]
0.81 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", 24)"]
0.85 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", 4)"]
5.38 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", 8)"]
1.49 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", \"random\", 12)"]
0.39 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", \"random\", 16)"]
0.31 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", \"random\", 20)"]
0.56 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", \"random\", 24)"]
0.40 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", \"random\", 4)"]
5.22 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"SWAP\", \"random\", 8)"]
1.37 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"S\", 12)"]
0.32 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"S\", 16)"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"S\", 20)"]
0.29 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"S\", 24)"]
0.30 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"S\", 4)"]
2.54 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"S\", 8)"]
0.50 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Sdag\", 12)"]
0.30 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Sdag\", 16)"]
0.30 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Sdag\", 20)"]
0.31 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Sdag\", 24)"]
0.30 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Sdag\", 4)"]
3.21 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"Sdag\", 8)"]
0.62 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"T\", 12)"]
0.33 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"T\", 16)"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"T\", 20)"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"T\", 24)"]
0.29 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"T\", 4)"]
3.44 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"T\", 8)"]
0.51 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Tdag\", 12)"]
0.33 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Tdag\", 16)"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Tdag\", 20)"]
0.27 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Tdag\", 24)"]
0.29 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Tdag\", 4)"]
3.38 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"Tdag\", 8)"]
0.51 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"X\", 12)"]
0.52 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"X\", 16)"]
0.25 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"X\", 20)"]
0.77 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"X\", 24)"]
0.54 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"X\", 4)"]
5.14 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"X\", 8)"]
1.52 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"Y\", 12)"]
0.48 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Y\", 16)"]
0.31 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Y\", 20)"]
0.57 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Y\", 24)"]
0.64 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Y\", 4)"]
4.40 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"Y\", 8)"]
1.01 (5%)
Inf (1%) ❌


["specialized", "multi qubit", "(\"Z\", 12)"]
0.55 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Z\", 16)"]
0.33 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Z\", 20)"]
0.79 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Z\", 24)"]
0.82 (5%) ✅
Inf (1%) ❌


["specialized", "multi qubit", "(\"Z\", 4)"]
5.57 (5%) ❌
Inf (1%) ❌


["specialized", "multi qubit", "(\"Z\", 8)"]
1.71 (5%) ❌
Inf (1%) ❌


["specialized", "single control", "(\"S\", 12, (2,), (1,))"]
0.52 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"S\", 16, (2,), (1,))"]
0.36 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"S\", 20, (2,), (1,))"]
0.80 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"S\", 24, (2,), (1,))"]
0.86 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"S\", 4, (2,), (1,))"]
3.80 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"S\", 8, (2,), (1,))"]
1.86 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Sdag\", 12, (2,), (1,))"]
0.56 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Sdag\", 16, (2,), (1,))"]
0.37 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Sdag\", 20, (2,), (1,))"]
0.82 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Sdag\", 24, (2,), (1,))"]
0.88 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Sdag\", 4, (2,), (1,))"]
3.66 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Sdag\", 8, (2,), (1,))"]
1.85 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"T\", 12, (2,), (1,))"]
0.57 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"T\", 16, (2,), (1,))"]
0.39 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"T\", 20, (2,), (1,))"]
0.87 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"T\", 24, (2,), (1,))"]
0.86 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"T\", 4, (2,), (1,))"]
3.71 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"T\", 8, (2,), (1,))"]
1.85 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Tdag\", 12, (2,), (1,))"]
0.52 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Tdag\", 16, (2,), (1,))"]
0.36 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Tdag\", 20, (2,), (1,))"]
0.88 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Tdag\", 24, (2,), (1,))"]
0.87 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Tdag\", 4, (2,), (1,))"]
3.07 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Tdag\", 8, (2,), (1,))"]
1.66 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"X\", 12, (2,), (1,))"]
0.54 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"X\", 16, (2,), (1,))"]
0.36 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"X\", 20, (2,), (1,))"]
0.85 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"X\", 24, (2,), (1,))"]
0.87 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"X\", 4, (2,), (1,))"]
3.67 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"X\", 8, (2,), (1,))"]
1.68 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Y\", 12, (2,), (1,))"]
0.48 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Y\", 16, (2,), (1,))"]
0.36 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Y\", 20, (2,), (1,))"]
0.75 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Y\", 24, (2,), (1,))"]
0.83 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Y\", 4, (2,), (1,))"]
3.56 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Y\", 8, (2,), (1,))"]
1.46 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Z\", 12, (2,), (1,))"]
0.64 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Z\", 16, (2,), (1,))"]
0.40 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Z\", 20, (2,), (1,))"]
0.84 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Z\", 24, (2,), (1,))"]
0.87 (5%) ✅
5.00 (1%) ❌


["specialized", "single control", "(\"Z\", 4, (2,), (1,))"]
3.80 (5%) ❌
5.00 (1%) ❌


["specialized", "single control", "(\"Z\", 8, (2,), (1,))"]
1.91 (5%) ❌
5.00 (1%) ❌


["specialized", "single qubit multi control", "(\"S\", 12, 4)"]
0.44 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"S\", 16, 5)"]
0.29 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"S\", 20, 6)"]
0.25 (5%) ✅
1.14 (1%) ❌


["specialized", "single qubit multi control", "(\"S\", 24, 8)"]
0.26 (5%) ✅
1.13 (1%) ❌


["specialized", "single qubit multi control", "(\"S\", 4, 2)"]
3.04 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"S\", 8, 3)"]
1.53 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"Sdag\", 12, 4)"]
0.52 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"Sdag\", 16, 5)"]
0.40 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"Sdag\", 20, 6)"]
0.43 (5%) ✅
1.14 (1%) ❌


["specialized", "single qubit multi control", "(\"Sdag\", 24, 8)"]
0.38 (5%) ✅
1.13 (1%) ❌


["specialized", "single qubit multi control", "(\"Sdag\", 4, 2)"]
3.13 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"Sdag\", 8, 3)"]
1.44 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"T\", 12, 4)"]
0.42 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"T\", 16, 5)"]
0.31 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"T\", 20, 6)"]
0.35 (5%) ✅
1.14 (1%) ❌


["specialized", "single qubit multi control", "(\"T\", 24, 8)"]
0.29 (5%) ✅
1.13 (1%) ❌


["specialized", "single qubit multi control", "(\"T\", 4, 2)"]
2.96 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"T\", 8, 3)"]
1.51 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"Tdag\", 12, 4)"]
0.49 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"Tdag\", 16, 5)"]
0.29 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"Tdag\", 20, 6)"]
0.28 (5%) ✅
1.14 (1%) ❌


["specialized", "single qubit multi control", "(\"Tdag\", 24, 8)"]
0.28 (5%) ✅
1.13 (1%) ❌


["specialized", "single qubit multi control", "(\"Tdag\", 4, 2)"]
2.88 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"Tdag\", 8, 3)"]
1.50 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"X\", 12, 4)"]
0.38 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"X\", 16, 5)"]
0.29 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"X\", 20, 6)"]
0.30 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"X\", 24, 8)"]
0.26 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"X\", 4, 2)"]
4.63 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"X\", 8, 3)"]
1.67 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Y\", 12, 4)"]
0.45 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Y\", 16, 5)"]
0.31 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Y\", 20, 6)"]
0.20 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Y\", 24, 8)"]
0.33 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Y\", 4, 2)"]
4.55 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Y\", 8, 3)"]
1.67 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit multi control", "(\"Z\", 12, 4)"]
0.42 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"Z\", 16, 5)"]
0.29 (5%) ✅
1.15 (1%) ❌


["specialized", "single qubit multi control", "(\"Z\", 20, 6)"]
0.29 (5%) ✅
1.14 (1%) ❌


["specialized", "single qubit multi control", "(\"Z\", 24, 8)"]
0.19 (5%) ✅
1.13 (1%) ❌


["specialized", "single qubit multi control", "(\"Z\", 4, 2)"]
2.98 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit multi control", "(\"Z\", 8, 3)"]
1.63 (5%) ❌
1.17 (1%) ❌


["specialized", "single qubit", "(\"S\", 1)"]
5.21 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"S\", 13)"]
0.44 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"S\", 17)"]
0.38 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"S\", 21)"]
0.77 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"S\", 25)"]
0.78 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"S\", 5)"]
3.98 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"S\", 9)"]
1.00 (5%)
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 1)"]
5.86 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 13)"]
0.45 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 17)"]
0.39 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 21)"]
0.84 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 25)"]
0.83 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 5)"]
4.70 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Sdag\", 9)"]
1.13 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 1)"]
5.12 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 13)"]
0.50 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 17)"]
0.40 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 21)"]
0.83 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 25)"]
0.87 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 5)"]
4.52 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"T\", 9)"]
1.15 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 1)"]
5.65 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 13)"]
0.44 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 17)"]
0.36 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 21)"]
0.82 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 25)"]
0.82 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 5)"]
4.18 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Tdag\", 9)"]
1.12 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 1)"]
5.75 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 13)"]
0.41 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 17)"]
0.32 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 21)"]
0.85 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 25)"]
0.86 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 5)"]
4.72 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"X\", 9)"]
1.18 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 1)"]
5.84 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 13)"]
0.28 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 17)"]
0.26 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 21)"]
0.60 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 25)"]
0.62 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 5)"]
3.74 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Y\", 9)"]
0.65 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 1)"]
5.38 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 13)"]
0.58 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 17)"]
0.45 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 21)"]
0.85 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 25)"]
0.85 (5%) ✅
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 5)"]
4.47 (5%) ❌
Inf (1%) ❌


["specialized", "single qubit", "(\"Z\", 9)"]
1.34 (5%) ❌
Inf (1%) ❌


Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

["matrices", "contiguous", "ordered"]
["matrices", "contiguous", "random"]
["matrices", "controlled", "ordered"]
["matrices", "controlled", "random"]
["matrices", "in-contiguous", "ordered"]
["matrices", "in-contiguous", "random"]
["matrices", "single qubit", "ordered"]
["matrices", "single qubit", "random"]
["specialized", "multi control"]
["specialized", "multi qubit multi control"]
["specialized", "multi qubit"]
["specialized", "single control"]
["specialized", "single qubit multi control"]
["specialized", "single qubit"]

Julia versioninfo

Target

Julia Version 1.1.0
Commit 80516ca202 (2019-01-21 21:24 UTC)
Platform Info:
  OS: macOS (x86_64-apple-darwin18.5.0)
  uname: Darwin 18.6.0 Darwin Kernel Version 18.6.0: Thu Apr 25 23:16:27 PDT 2019; root:xnu-4903.261.4~2/RELEASE_X86_64 x86_64 i386
  CPU: Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz: 
              speed         user         nice          sys         idle          irq
       #1  2800 MHz     106163 s          0 s      41456 s     512238 s          0 s
       #2  2800 MHz       5986 s          0 s       3733 s     650112 s          0 s
       #3  2800 MHz      89550 s          0 s      26447 s     543834 s          0 s
       #4  2800 MHz       5646 s          0 s       2628 s     651555 s          0 s
       #5  2800 MHz      82435 s          0 s      20836 s     556559 s          0 s
       #6  2800 MHz       5655 s          0 s       2321 s     651854 s          0 s
       #7  2800 MHz      80567 s          0 s      17410 s     561853 s          0 s
       #8  2800 MHz       6195 s          0 s       2114 s     651520 s          0 s
       
  Memory: 16.0 GB (2547.10546875 MB free)
  Uptime: 116170.0 sec
  Load Avg:  3.00048828125  3.265625  3.63671875
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)

Baseline

Julia Version 1.1.0
Commit 80516ca202 (2019-01-21 21:24 UTC)
Platform Info:
  OS: macOS (x86_64-apple-darwin18.5.0)
  uname: Darwin 18.6.0 Darwin Kernel Version 18.6.0: Thu Apr 25 23:16:27 PDT 2019; root:xnu-4903.261.4~2/RELEASE_X86_64 x86_64 i386
  CPU: Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz: 
              speed         user         nice          sys         idle          irq
       #1  2800 MHz     111380 s          0 s      42649 s     522766 s          0 s
       #2  2800 MHz       6132 s          0 s       3795 s     666840 s          0 s
       #3  2800 MHz      93552 s          0 s      27315 s     555901 s          0 s
       #4  2800 MHz       5747 s          0 s       2674 s     668348 s          0 s
       #5  2800 MHz      85893 s          0 s      21554 s     569321 s          0 s
       #6  2800 MHz       5755 s          0 s       2357 s     668656 s          0 s
       #7  2800 MHz      83728 s          0 s      18036 s     575004 s          0 s
       #8  2800 MHz       6294 s          0 s       2148 s     668326 s          0 s
       
  Memory: 16.0 GB (2495.921875 MB free)
  Uptime: 117864.0 sec
  Load Avg:  2.357421875  2.33740234375  2.45166015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)