Original iterative phase-estimation scheme using a single ancilla qubit and classical post-processing.
arxiv.org/abs/quant-ph/9511026 ↗Iterative phase estimation
Estimates the eigenphase of a unitary using a single reused ancilla qubit instead of a full phase-estimation register.
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Kitaev's iterative (semiclassical) phase estimation trades the O(t) ancilla qubits of textbook QPE for O(1) ancilla and classical feedback between t sequential rounds.
Circuit & simulation
What this takes and returns
TakesNothingWhat joins here
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ReturnsNothingWhat joins here
No output port at this edge: the record publishes no gate sequence and no register, so there is nothing here to read one off — and unlike a declared hole, nothing has been recorded about what belongs here.
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Where this sits
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- Iterative phase estimation on one ancilla Method
Takes A circuit for U that can be applied as controlled U^(2^j), a preparation routine for a state whose overlap with the target eigenvector is not negligible, the number of bits of the phase wanted, and the failure probability that may be tolerated. Returns An estimate of the eigenphase to the requested number of bits, with the failure probability it was obtained at, plus the two costs that actually differ between routes: how many ancillas were held at once, and how many sequential rounds were run.
How it works
Kitaev's iterative phase estimation (IPE) estimates the eigenphase of using a single ancilla qubit reused across sequential rounds, instead of the ancilla qubits plus inverse-QFT used by textbook phase estimation.
Per-round structure. Round (starting from the most significant bit) prepares the ancilla in , applies a controlled , applies a phase correction built from the bits already measured in earlier rounds (the "semiclassical" feedback), applies , and measures. The measured bit is the -th bit of the binary expansion of . Because the ancilla is reset and reused, only one physical qubit is needed beyond the eigenstate register, at the cost of sequential circuit executions instead of one wide circuit.
Small worked instance. Take (the phase gate) acting on its eigenstate : , so . In binary, — an exact 2-bit fraction with no truncation error. Running 2-bit IPE: round 0 (most significant bit) applies controlled- and recovers bit ; round 1 applies controlled- with the feedback phase set from , recovering bit . The two measured bits reconstruct exactly, since this particular phase happens to terminate at 2 bits.
Complexity. Both textbook QPE and IPE use total controlled- applications to resolve bits of ; IPE's advantage is coherent ancilla qubits rather than , which matters on hardware where qubit count, not gate count, is the binding constraint.
Implementation
from qiskit import QuantumCircuit
import numpy as np
def ipe_round(k, total_bits, omega):
"""One semiclassical IPE round for U = S-gate, eigenstate |1>."""
qc = QuantumCircuit(2, 1)
qc.x(1) # eigenstate |1> of S
qc.h(0) # ancilla in |+>
reps = 2 ** (total_bits - 1 - k)
for _ in range(reps):
qc.cp(np.pi / 2, 0, 1) # controlled-S^reps
qc.p(-omega, 0) # feedback from previously measured bits
qc.h(0)
qc.measure(0, 0)
return qc
# phi = 1/4 for U = S acting on |1>; recovered exactly in 2 rounds
round0 = ipe_round(0, 2, omega=0.0) # expect bit b1 = 0
round1 = ipe_round(1, 2, omega=0.0) # feedback uses b1; expect bit b0 = 1
FINAL_CIRCUIT = round1Quantum vs classical
Classical baseline
Classical eigenvalue decomposition of a unitary requires the explicit matrix and costs exponentially in the number of qubits it acts on.
Quantum claim
IPE extracts binary digits of the phase using only black-box controlled-U access, with O(2^t) total queries for t bits of precision and O(1) coherent ancilla qubits.
How to compare
Compare total controlled-U calls and ancilla-qubit count against textbook QPE, and against classical diagonalization when the unitary's matrix is actually available.
Declared gaps
Nobody has reviewed this record for gaps yet.
Literature & references
Formalizes the semiclassical feedback rounds used in this entry's circuit.
arxiv.org/abs/quant-ph/0610214 ↗