A package for simulating small-scale quantum computing
Project description
Full documentation at www.awebb.info/qcircuits/index.html.
QCircuits is a lightweight Python package for simulating the operation of small-scale quantum computers, based on the quantum circuit model. It uses type (d, 0) and type (d, d) tensors to represent state vectors for and operators on d-qubit systems, rather than using straight vectors and matrices produced by Kronecker products, as is more typical.
Installation
Install with pip:
pip install qcircuits
or from the source available here.
Example usage
Quantum teleportation example:
Quantum circuit:
Code:
import qcircuits as qc # Instantiating the operators we will need CNOT = qc.CNOT() H = qc.Hadamard() X = qc.PauliX() Z = qc.PauliZ() # Alice's hidden state, that she wishes to transport to Bob. alice = qc.qubit(theta=1, phi=1, global_phase=0.2) # A previously prepared Bell state, with one qubit owned by # alice, and another by Bob, now physically separated. bell_state = qc.bell_state(0, 0) # The state vector for the whole system. phi = alice * bell_state # Alice applies a CNOT gate to her two qubit, and then # a Hadamard gate to her private qubit. phi = CNOT(phi, qubit_indices=[0, 1]) phi = H(phi, qubit_indices=[0]) # Alice measures the first two bits, and transmits the classical # bits to Bob. # The only uncollapsed part of the state vector is Bob's. M1, M2 = phi.measure(qubit_indices=[0, 1], remove=True) # Apply X and/or Z gates to third qubit depending on measurements if M2: print('First bit 1, applying X\n') phi = X(phi) if M1: print('Second bit 1, applying Z\n') phi = Z(phi) print('Original state:', alice) print('\nTeleported state:', phi)
Details
Project details
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QCircuits-0.3.0.tar.gz
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