PhaseEstimation
class qiskit.algorithms.PhaseEstimation(num_evaluation_qubits, quantum_instance=None, sampler=None)
Bases: PhaseEstimator
Run the Quantum Phase Estimation (QPE) algorithm.
This runs QPE with a multi-qubit register for reading the phases [1] of input states.
The algorithm takes as input a unitary and a state , which may be written
where are eigenstates of . We prepare the quantum register in the state then apply leaving the register in the state
In the ideal case, one then measures the phase with probability . In practice, many (or all) of the bit strings may be measured due to noise and the possibility that may not be representable exactly by the output register. In the latter case the probability for each eigenphase will be spread across bitstrings, with amplitudes that decrease with distance from the bitstring most closely approximating the eigenphase.
The main input to the constructor is the number of qubits in the phase-reading register. For phase estimation, there are two methods:
first. estimate, which takes a state preparation circuit to prepare an input state, and
a unitary that will act on the input state. In this case, an instance of qiskit.circuit.PhaseEstimation, a QPE circuit, containing the state preparation and input unitary will be constructed.
second. estimate_from_pe_circuit, which takes a quantum-phase-estimation circuit in which
the unitary and state preparation are already embedded.
In both estimation methods, the QPE circuit is run on a backend and the frequencies or counts of the phases represented by bitstrings are recorded. The results are returned as an instance of PhaseEstimationResult.
Reference:
[1]: Michael A. Nielsen and Isaac L. Chuang. 2011.
Quantum Computation and Quantum Information: 10th Anniversary Edition (10th ed.). Cambridge University Press, New York, NY, USA.
qiskit.algorithms.phase_estimators.phase_estimation.PhaseEstimation.__init__()’s argument quantum_instance is deprecated as of qiskit-terra 0.24.0. It will be removed no earlier than 3 months after the release date. Instead, use the sampler argument. See https://qisk.it/algo_migration for a migration guide.
Parameters
- num_evaluation_qubits (int) – The number of qubits used in estimating the phase. The phase will be estimated as a binary string with this many bits.
- quantum_instance (QuantumInstance |Backend | None) – Deprecated: The quantum instance on which the circuit will be run.
- sampler (BaseSampler | None) – The sampler primitive on which the circuit will be sampled.
Raises
AlgorithmError – If neither sampler nor quantum instance is provided.
Methods
construct_circuit
construct_circuit(unitary, state_preparation=None)
Return the circuit to be executed to estimate phases.
This circuit includes as sub-circuits the core phase estimation circuit, with the addition of the state-preparation circuit and possibly measurement instructions.
Return type
estimate
estimate(unitary, state_preparation=None)
Build a phase estimation circuit and run the corresponding algorithm.
Parameters
- unitary (QuantumCircuit) – The circuit representing the unitary operator whose eigenvalues (via phase) will be measured.
- state_preparation (QuantumCircuit | None) – The circuit that prepares the state whose eigenphase will be measured. If this parameter is omitted, no preparation circuit will be run and input state will be the all-zero state in the computational basis.
Returns
An instance of qiskit.algorithms.phase_estimator_result.PhaseEstimationResult.
Return type
estimate_from_pe_circuit
estimate_from_pe_circuit(pe_circuit, num_unitary_qubits)
Run the phase estimation algorithm on a phase estimation circuit
Parameters
- pe_circuit (QuantumCircuit) – The phase estimation circuit.
- num_unitary_qubits (int) – Must agree with the number of qubits in the unitary in pe_circuit.
Returns
An instance of qiskit.algorithms.phase_estimator_result.PhaseEstimationResult.
Raises
AlgorithmError – Primitive job failed.
Return type