nelimee

import logging
import pickle
import typing as ty
from pathlib import Path

import networkx as nx
from qiskit.circuit.quantumregister import Qubit
from qiskit.dagcircuit.dagcircuit import DAGNode

logger = logging.getLogger("IBMQHardwareArchitecture")

nelimee

(setq lsp-keymap-prefix "C-c s")
(use-package lsp-mode
  ;;:init
  :config
  (setq lsp-enable-snippet nil)
  ;; Python
  ;; Default pyls server when not given in local variables
  (setq lsp-pyls-server-command '("~/.anaconda3/envs/pyls/bin/pyls"))
  ;; Do not enable the formatters to let pyls use Black!
  (setq lsp-pyls-plugins-autopep8-enabled nil)

nelimee

def normalise(vec: numpy.ndarray) -> numpy.ndarray:
    norm = numpy.linalg.norm(vec)
    if norm > numpy.finfo(float).eps:
        return vec / norm
    return vec

def reverse_normalised_kronecker(vec: numpy.ndarray, *sizes: int, under_is_zero: float = 1e-10):
    """Reverse a kronecker product of normalised vectors.

    :param vec: The full vector, result of the kronecker product.

nelimee

gdb sw                                                                                                                                                                                             140  17:51:14   
GNU gdb (GDB) 8.3
Copyright (C) 2019 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.
Type "show copying" and "show warranty" for details.
This GDB was configured as "x86_64-pc-linux-gnu".
Type "show configuration" for configuration details.
For bug reporting instructions, please see:

nelimee

[notification-center]
# Margin at the top of the notification center in pixels.
# This can be used to avoid overlap between the notification center and
# bars such as polybar or i3blocks.
marginTop = 50
# Width of the notification center in pixels. 
width = 750
# Monitor on which the notification center will be printed.
# NOTE: is the "0" value special? Because with this setting, the notification
#       center appears on the focused monitor.

nelimee

import numpy
from qiskit.mapper._compiling import two_qubit_kak

A = numpy.array([[15, 9, 5, -3], [9, 15, 3, -5], [5, 3, 15, -9], [-3, -5, -9, 15]], dtype=numpy.complex) / 4
two_qubit_kak(A)

nelimee

# ======================================================================
# Copyright CERFACS (November 2018)
# Contributor: Adrien Suau (suau@cerfacs.fr)
#
# This software is governed by the CeCILL-B license under French law and
# abiding  by the  rules of  distribution of free software. You can use,
# modify  and/or  redistribute  the  software  under  the  terms  of the
# CeCILL-B license as circulated by CEA, CNRS and INRIA at the following
# URL "http://www.cecill.info".
#

nelimee

# ======================================================================
# Copyright CERFACS (November 2018)
# Contributor: Adrien Suau (suau@cerfacs.fr)
#
# This software is governed by the CeCILL-B license under French law and
# abiding  by the  rules of  distribution of free software. You can use,
# modify  and/or  redistribute  the  software  under  the  terms  of the
# CeCILL-B license as circulated by CEA, CNRS and INRIA at the following
# URL "http://www.cecill.info".
#

nelimee

Traceback (most recent call last):
  File "~/venv/papis/lib64/python3.6/site-packages/prompt_toolkit/application/application.py", line 652, in _run_async2
    result = yield f
  File "~/venv/papis/lib64/python3.6/site-packages/prompt_toolkit/eventloop/coroutine.py", line 86, in step_next
    new_f = coroutine.send(None)
  File "~/venv/papis/lib64/python3.6/site-packages/prompt_toolkit/application/application.py", line 595, in _run_async
    self._redraw()
  File "~/venv/papis/lib64/python3.6/site-packages/prompt_toolkit/application/application.py", line 444, in _redraw
    self.renderer.render(self, self.layout)
  File "~/venv/papis/lib64/python3.6/site-packages/prompt_toolkit/renderer.py", line 590, in render

nelimee

import numpy as np
import scipy.linalg as la

A = .25 * np.array([[15, 9, 5, -3],
                    [9, 15, 3, -5],
                    [5, 3, 15, -9],
                    [-3, -5, -9, 15]])

t0 = 2 * np.pi