iqm.benchmarks.quantum_volume.clops.CLOPSConfiguration

class iqm.benchmarks.quantum_volume.clops.CLOPSConfiguration(*, benchmark: type[~iqm.benchmarks.benchmark_definition.Benchmark] = <class 'iqm.benchmarks.quantum_volume.clops.CLOPSBenchmark'>, shots: int = 256, max_gates_per_batch: int | None = None, max_circuits_per_batch: int | None = None, routing_method: ~iqm.benchmarks.utils.RoutingMethod = RoutingMethod.SABRE, physical_layout: ~iqm.benchmarks.utils.PhysicalLayout = PhysicalLayout.FIXED, use_dd: bool | None = False, dd_strategy: ~iqm.station_control.interface.models.circuit.DDStrategy | None = None, active_reset_cycles: int | None = None, qubits: ~collections.abc.Sequence[int], num_circuits: int = 100, num_updates: int = 10, num_shots: int = 100, clops_h_bool: bool = False, qiskit_optim_level: int = 3, optimize_sqg: bool = True)

Bases: BenchmarkConfigurationBase

CLOPS configuration.

Parameters:

• benchmark (type[Benchmark])

• shots (int)

• max_gates_per_batch (int | None)

• max_circuits_per_batch (int | None)

• routing_method (RoutingMethod)

• physical_layout (PhysicalLayout)

• use_dd (bool | None)

• dd_strategy (DDStrategy | None)

• active_reset_cycles (int | None)

• qubits (Sequence[int])

• num_circuits (int)

• num_updates (int)

• num_shots (int)

• clops_h_bool (bool)

• qiskit_optim_level (int)

• optimize_sqg (bool)

benchmark

CLOPS Benchmark.

Type:

type[iqm.benchmarks.benchmark_definition.Benchmark]

qubits

Sequence of physical qubit labels in which to run the benchmark. The physical qubit layout should correspond to the one used to establish QV.

Type:

collections.abc.Sequence[int]

num_circuits

Number of parametrized circuit layouts. By definition of arXiv:2110.14108 [quant-ph] set to 100.

Type:

int

num_updates

Number of parameter assignment updates per circuit layout to perform. By definition of arXiv:2110.14108 [quant-ph] set to 10.

Type:

int

num_shots

Number of measurement shots per circuit to perform. By definition of arXiv:2110.14108 [quant-ph] set to 100.

Type:

int

clops_h_bool

Whether a CLOPS value with layer definition of CLOPS_H is estimated. Default is False. This will not estimate a rigorous CLOPS_H value (as loosely defined in www.ibm.com/quantum/blog/quantum-metric-layer-fidelity)

Type:

bool

qiskit_optim_level

Qiskit transpilation optimization level. The optimization level should correspond to the one used to establish QV.

Type:

int

optimize_sqg

Whether Single Qubit Gate Optimization is performed upon transpilation. The optimize_sqg value should correspond to the one used to establish QV.

Type:

bool

routing_method

Qiskit transpilation routing method to use. The routing_method value should correspond to the one used to establish QV.

physical_layout

Whether the coupling map is restricted to qubits in the input layout or not. “fixed” restricts the coupling map to only the specified qubits. “batching” considers the full coupling map of the backend and circuit execution is batched per final layout.

Attributes

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
benchmark
qubits
num_circuits
num_updates
num_shots
clops_h_bool
qiskit_optim_level
optimize_sqg
shots
max_gates_per_batch
max_circuits_per_batch
routing_method
physical_layout
use_dd
dd_strategy
active_reset_cycles

Methods

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].