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Research PaperResearchia:202605.23052

Adiabatic Quantum Phase Estimation

Alexander Schmidhuber

Abstract

Quantum phase estimation (QPE) is a central algorithmic primitive that estimates eigenvalues of a Hamiltonian up to precision $ε$ in Heisenberg-limited time $T=Θ(1/ε)$. Standard gate-based implementations of QPE require deep controlled time-evolution circuits and are not native to analog hardware. Here, we present a simple adiabatic protocol for QPE that achieves (up to logarithmic factors) the optimal Heisenberg-limited scaling $T = O\left( \frac{1}ε \log\left(δ^{-1}\right)\right)$ in both the ...

Submitted: May 23, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Quantum phase estimation (QPE) is a central algorithmic primitive that estimates eigenvalues of a Hamiltonian up to precision εε in Heisenberg-limited time T=Θ(1/ε)T=Θ(1/ε). Standard gate-based implementations of QPE require deep controlled time-evolution circuits and are not native to analog hardware. Here, we present a simple adiabatic protocol for QPE that achieves (up to logarithmic factors) the optimal Heisenberg-limited scaling T=O(1εlog(δ1))T = O\left( \frac{1}ε \log\left(δ^{-1}\right)\right) in both the precision εε and failure probability δδ. By encoding eigenvalues in populations of computational basis states rather than complex phases, our approach is naturally robust against certain dephasing errors. The adiabatic protocol only requires the ability to couple a single ancilla qubit to the system Hamiltonian as well as pairwise couplings within the ancilla register.


Source: arXiv:2605.22770v1 - http://arxiv.org/abs/2605.22770v1 PDF: https://arxiv.org/pdf/2605.22770v1 Original Link: http://arxiv.org/abs/2605.22770v1

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Date:
May 23, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
Comments:
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