circ0 = qf.Circuit()
circ0 += qf.Z(0)            # Z gate on qubit 0
circ0 += qf.CNOT(0, 1)      # Controlled not gate: control is qubit 0, target is qubit 1
qf.circuit_to_image(circ0)  # Convert circuit to LaTex, then to PNG image

#!/usr/bin/env python
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""A collection of useful circuit identities"""
from itertools import zip_longest
import numpy as np
from quantumflow import (
    I, H, X, Y, Z, CNOT, CZ, SWAP, ISWAP, CANONICAL, XX, YY, ZZ, S,
    CCNOT, RZ, Circuit, ccnot_circuit, gates_close, RX, CPHASE, TZ,
    CPHASE00, CPHASE10, CPHASE01)
def identities():
    """ Return a list of circuit identities, each consisting of a name, and
    two equivalent Circuits."""
    circuit_identities = []
    # Pick random parameter
    theta = np.pi * np.random.uniform()
    # Single qubit gate identities
    name = "Hadamard is own inverse"
    circ0 = Circuit([H(0), H(0)])
    circ1 = Circuit([I(0)])
    circuit_identities.append([name, circ0, circ1])
    name = "Hadamards convert X to Z"
    circ0 = Circuit([H(0), X(0), H(0)])
    circ1 = Circuit([Z(0)])
    circuit_identities.append([name, circ0, circ1])
    name = "Hadamards convert Z to X"
    circ0 = Circuit([H(0), Z(0), H(0)])
    circ1 = Circuit([X(0)])
    circuit_identities.append([name, circ0, circ1])
    name = "S sandwich converts X to Y"
    circ0 = Circuit([S(0).H, X(0), S(0)])
    circ1 = Circuit([Y(0)])
    circuit_identities.append([name, circ0, circ1])
    name = "S sandwich converts Y to X"
    circ0 = Circuit([S(0), Y(0), S(0).H])
    circ1 = Circuit([X(0)])
    circuit_identities.append([name, circ0, circ1])
    name = "Hadamards convert RZ to RX"
    circ0 = Circuit([H(0), RZ(theta, 0), H(0)])

#!/usr/bin/env python
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""
QuantumFlow: Example visualizations of Circuits using LaTeX.
Requires external dependencies `pdflatex` and `poppler`.
"""
import shutil
import sys
import quantumflow as qf
from pyquil.quil import Program
from pyquil.gates import Z, CNOT, CZ, CCNOT
if shutil.which('pdflatex') is None:
    print('Failed: External dependency `pdflatex` not found.')
    sys.exit()
if shutil.which('pdftocairo') is None:
    print('Failed: External dependency `pdftocairo` not found. '
          'Install `poppler`.')
    sys.exit()
# Display Bell state preparation
qf.circuit_to_image(qf.ghz_circuit([0, 1])).show()
# 4-qubit GHZ state preparation
qf.circuit_to_image(qf.ghz_circuit([0, 1, 2, 3])).show()
# 4-qubit ripple add
circ = qf.addition_circuit(['a[0]', 'a[1]', 'a[2]', 'a[3]'],
                           ['b[0]', 'b[1]', 'b[2]', 'b[3]'],
                           ['cin', 'cout'])
order = ['cin', 'a[0]', 'b[0]', 'a[1]', 'b[1]', 'a[2]', 'b[2]', 'a[3]',
         'b[3]', 'cout']
latex = qf.circuit_to_latex(circ, order)
img = qf.render_latex(latex)
img.show()
# Visualize pyquil protoquil programs
prog = Program()
prog = prog.inst(Z(0))
prog = prog.inst(CNOT(0, 1))
prog = prog.inst(CZ(0, 1))
prog = prog.inst(CCNOT(0, 1, 2))
qf.forest.pyquil_to_image(prog).show()