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A quantum computing simulator for Python
pip install QSystem==1.2.0
A quantum computing simulator for Python.
The QSystem simulator is inspired in the quantum circuit model, so it's easy to convert any quantum circuit to Python.
Like the follow example:
from qsystem import QSystem
from cmath import exp, pi
q = QSystem(3, 24) # init q0, q1, q2
q.evol(gate='H', qbit=0, count=3) # H q0; H q1; H q2
q.add_ancillas(4) # init a0, a1, a2, a3
q.evol(gate='X', qbit=6) # X a3
q.cnot(target=4, control=[2]) # CNOT a1, q2
q.cnot(5, [2]) # CNOT a2, q2
q.cnot(5, [3]) # CNOT a2, a0
q.cnot(3, [1, 5]) # Toffoli a1, q1, a2
q.cnot(5, [3]) # CNOT a2, a0
q.cnot(4, [6]) # CNOT a1, a3
q.cnot(6, [1, 4]) # Toffoli a3, q1, a1
q.cnot(4, [6]) # CNOT a1, a3
q.measure(qbit=3, count=4) # measure a0, a1, a2, a3
print('ancillas measurement =', q.bits()[3:])
# ancillas measurement = [0, 1, 0, 0]
q.rm_ancillas() # rm a0, a1, a2, a3
q.evol('H', 0) # H q0 ┐
q.cphase(phase=1j, target=1, control=[0]) # Controlled S q1, q0 │
q.evol('H', 1) # H q1 │
q.cphase(exp(pi*1j/4), 2, [0]) # Controlled T q2, q0 │ = q.qft(0, 3)
q.cphase(1j, 2, [1]) # Controlled S q2, q1 │
q.evol('H', 2) # H q1 │
q.swap(0, 2) # SWAP q0, q2 ┘
q.measure(0, 3) # measure q0, q1, q2
print('final measurement =', q.bits())
# final measurement = [1, 0, 0]
QSystem depends on Boost C++ Libraries and requires a C/C++ compiler.
To install use the follow command:
pip install QSystem
Seed the API documentation.
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Last synced: 2021-02-20 22:35:14 UTC
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