quri_parts.qulacs.simulator module#

evaluate_state_to_vector(state)#

Convert GeneralCircuitQuantumState or QuantumStateVector to QuantumStateVector that only contains the state vector.

Parameters:

state (qulacs.QulacsStateT) –

Return type:

QuantumStateVector

run_circuit(circuit, init_state)#

Act a NonParametricQuantumCircuit onto a state vector and returns a new state vector.

Parameters:
Return type:

ndarray[Any, dtype[complex128]]

get_marginal_probability(state_vector, measured_values)#

Compute the probability of obtaining a result when measuring on a subset of the qubits.

state_vector:

A 1-dimensional array representing the state vector.

measured_values:

A dictionary representing the desired measurement outcome on the specified qubtis. Suppose {0: 1, 2: 0} is passed in, it computes the probability of obtaining 1 on the 0th qubit and 0 on the 2nd qubit.

Parameters:

  • state_vector (ndarray[Any, dtype[complex128]]) –

  • measured_values (dict[int, int]) –

Return type:

float

create_qulacs_vector_state_sampler()#

Creates a state sampler based on Qulacs circuit execution.

Return type:

StateSampler[QulacsStateT]

create_concurrent_vector_state_sampler(executor=None, concurrency=1)#
Parameters:

  • executor (Optional['Executor']) –

  • concurrency (int) –

Return type:

ConcurrentStateSampler[QulacsStateT]

create_qulacs_ideal_vector_state_sampler()#

Creates an ideal state sampler based on Qulacs circuit execution.

Return type:

StateSampler[QulacsStateT]