LogicalQ.Experiments
Attributes
Functions
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General function to execute a circuit with smart handling of parameters, especially for circuits with QEC. |
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Basic core experiment function useful for multiprocessing |
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Simulates physical and logical circuits across a range of noise models. |
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An extension of the noise_scaling_experiment method specifically for comparisons with QEC cycles scheduled given constraint models. |
Module Contents
- LogicalQ.Experiments.DEFAULT
- LogicalQ.Experiments.execute_circuits(circuit_input, target=None, backend=None, hardware_model=None, noise_model=DEFAULT, noise_params=DEFAULT, coupling_map=DEFAULT, basis_gates=DEFAULT, method='statevector', optimization_level=0, shots=1024, memory=False, save_statevector=False, save_density_matrix=False, return_circuits_transpiled=False)
General function to execute a circuit with smart handling of parameters, especially for circuits with QEC.
The parameters target, backend, and hardware_model are the preferred input type to this function. If specified, noise_model, noise_params, coupling_map, and basis_gates will try to override anything specified in target, backend, or hardware_model.
- LogicalQ.Experiments._basic_experiment_core(task_id, circuit, noise_model, kwargs)
Basic core experiment function useful for multiprocessing
- LogicalQ.Experiments.circuit_scaling_experiment(circuit_input, noise_model_input=None, min_n_qubits=1, max_n_qubits=16, min_circuit_length=1, max_circuit_length=16, with_mp=True, save_dir=None, save_filename=None, **kwargs)
- LogicalQ.Experiments.noise_scaling_experiment(circuit_input, noise_model_input, error_scan_keys, error_scan_val_lists, basis_gates=None, compute_exact=False, exact_method=None, with_mp=False, save_dir=None, save_filename=None, **kwargs)
Simulates physical and logical circuits across a range of noise models.
- Parameters:
circuit_input – The circuit(s) to simulate. Accepts instances or lists of QuantumCircuit objects.
noise_model_input – The noise model(s) to scan across. Accepts instances or lists of NoiseModel, or error dictionaries from which a NoiseModel can be constructed.
- Returns:
all_data
- Raises:
NotImplementedError – if user attempts to provide noise_scaling_experiment with a circuit factory or noise model factory.
- Return type:
dict
- LogicalQ.Experiments.qec_cycle_efficiency_experiment(circuit_input, qecc, constraint_scan_keys, constraint_scan_val_lists, with_mp=False, save_dir=None, save_filename=None, **kwargs)
- LogicalQ.Experiments.qec_cycle_circuit_scaling_experiment(circuit_input, qecc, constraint_model=None, min_n_qubits=1, max_n_qubits=16, min_circuit_length=1, max_circuit_length=16, with_mp=True, save_dir=None, save_filename=None, **kwargs)
- LogicalQ.Experiments.qec_cycle_noise_scaling_experiment(circuit_input, noise_model_input, qecc, constraint_scan_keys, constraint_scan_val_lists, error_scan_keys, error_scan_val_lists, compute_exact=False, with_mp=False, save_dir=None, save_filename=None, **kwargs)
An extension of the noise_scaling_experiment method specifically for comparisons with QEC cycles scheduled given constraint models.
Data format: ``` all_data = [ # for each constraint model:
- {
“circuit_physical”: QuantumCircuit, “circuit_logical”: LogicalCircuit, “constraint_model”: dict, “results_physical”: [ # for each circuit:
- {
“circuit”: circuit, “density_matrix_exact”: density_matrix_exact, “statevector_exact”: statevector_exact, “results”: [
- {
“error_dict”: error_dict, “result”: result
},
]
},
], “results_logical”: [
- {
“circuit”: circuit, “density_matrix_exact”: density_matrix_exact, “statevector_exact”: statevector_exact, “results”: [
- {
“error_dict”: error_dict, “result”: result
},
]
},
],
},
]