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. |
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