Qiskit Tools (qiskit.tools)

Parallel Routines

parallel_map(task, values[, task_args, …])

Parallel execution of a mapping of values to the function task. This is functionally equivalent to::.

Monitoring

job_monitor(job[, interval, quiet, output])	Monitor the status of a IBMQJob instance.
backend_monitor(backend)	Monitor a single IBMQ backend.
backend_overview()	Gives overview information on all the IBMQ backends that are available.

Quantum Information

qft(circ, q, n)	n-qubit QFT on q in circ.
partial_trace(state, trace_systems[, …])	Partial trace over subsystems of multi-partite matrix.
vectorize(density_matrix[, method])	Flatten an operator to a vector in a specified basis.
devectorize(vectorized_mat[, method])	Devectorize a vectorized square matrix.
choi_to_pauli(choi[, order])	Convert a Choi-matrix to a Pauli-basis superoperator.
chop(array[, epsilon])	Truncate small values of a complex array.
outer(vector1[, vector2])	Construct the outer product of two vectors.
entropy(state)	Compute the von-Neumann entropy of a quantum state.
shannon_entropy(pvec[, base])	Compute the Shannon entropy of a probability vector.
concurrence(state)	Calculate the concurrence.
entanglement_of_formation(state, d0[, d1])	Compute the entanglement of formation of quantum state.
mutual_information(state, d0[, d1])	Compute the mutual information of a bipartite state.
is_pos_def(x)	Return is_pos_def.