supermarq.converters

Functions

cirq_to_qiskit(→ qiskit.QuantumCircuit)	Convert a circuit from cirq to qiskit.
compute_communication_with_qiskit(→ float)	Compute the program communication of the given quantum circuit.
compute_depth_with_qiskit(→ float)	Compute the critical depth of the given quantum circuit.
compute_entanglement_with_qiskit(→ float)	Compute the entanglement-ratio of the given quantum circuit.
compute_liveness_with_qiskit(→ float)	Compute the liveness of the given quantum circuit.
compute_measurement_with_qiskit(→ float)	Compute the measurement feature of the given quantum circuit.
compute_parallelism_with_qiskit(→ float)	Compute the parallelism of the given quantum circuit.

Module Contents

supermarq.converters.cirq_to_qiskit(circuit: cirq.Circuit) → qiskit.QuantumCircuit

Convert a circuit from cirq to qiskit.

Parameters:

circuit – A cirq.Circuit to be converted.

Returns:

An equivalent qiskit.QuantumCircuit.

supermarq.converters.compute_communication_with_qiskit(circuit: qiskit.QuantumCircuit) → float

Compute the program communication of the given quantum circuit.

Program communication = circuit’s average qubit degree / degree of a complete graph.

Parameters:

circuit – A quantum circuit.

Returns:

The value of the communication feature for this circuit.

supermarq.converters.compute_depth_with_qiskit(circuit: qiskit.QuantumCircuit) → float

Compute the critical depth of the given quantum circuit.

Critical depth = # of 2-qubit gates along the critical path / total # of 2-qubit gates.

Parameters:

circuit – A quantum circuit.

Returns:

The value of the depth feature for this circuit.

supermarq.converters.compute_entanglement_with_qiskit(circuit: qiskit.QuantumCircuit) → float

Compute the entanglement-ratio of the given quantum circuit.

Entanglement-ratio = ratio between # of 2-qubit gates and total number of gates in the circuit.

Parameters:

circuit – A quantum circuit.

Returns:

The value of the entanglement feature for this circuit.

supermarq.converters.compute_liveness_with_qiskit(circuit: qiskit.QuantumCircuit) → float

Compute the liveness of the given quantum circuit.

Liveness feature = sum of all entries in the liveness matrix / (num_qubits * depth).

Parameters:

circuit – A quantum circuit.

Returns:

The value of the liveness feature for this circuit.

supermarq.converters.compute_measurement_with_qiskit(circuit: qiskit.QuantumCircuit) → float

Compute the measurement feature of the given quantum circuit.

Measurement feature = # of layers of mid-circuit measurement / circuit depth.

Parameters:

circuit – A quantum circuit.

Returns:

The value of the measurement feature for this circuit.

supermarq.converters.compute_parallelism_with_qiskit(circuit: qiskit.QuantumCircuit) → float

Compute the parallelism of the given quantum circuit.

Parallelism feature = max((((# of gates / depth) - 1) /(# of qubits - 1)), 0).

Parameters:

circuit – A quantum circuit.

Returns:

The value of the parallelism feature for this circuit.