def benchmark_jordan_wigner_sparse(n_qubits):
"""Benchmark the speed at which a FermionOperator is mapped to a matrix.
Args:
n_qubits: The number of qubits in the example.
Returns:
runtime: The time in seconds that the benchmark took.
"""
# Initialize a random FermionOperator.
molecular_operator = random_interaction_operator(n_qubits)
fermion_operator = get_fermion_operator(molecular_operator)
# Map to SparseOperator class.
start_time = time.time()
_ = jordan_wigner_sparse(fermion_operator)
runtime = time.time() - start_time
return runtime
def qubit_generator_matrix(self) -> np.ndarray:
"""The matrix G such that the gate's unitary is exp(-i t G) with
exponent t."""
return jordan_wigner_sparse(self.fermion_generator,
self.num_qubits()).toarray()