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Bibliographic Details
Main Authors: Guo, Xi, An, Dong
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.10329
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author Guo, Xi
An, Dong
author_facet Guo, Xi
An, Dong
contents Adiabatic quantum computing is a powerful framework for state preparation, while its evolution time often scales quadratically in the inverse Hamiltonian spectral gap, leading to sub-optimal computational complexity. In this work, we introduce a nonlinear adaptive strategy for finding the time scheduling function, and show that the gap dependence can be quadratically improved to be inverse linear for a wide range of systems under a mild gap measure condition. Through variational analysis, we further demonstrate the optimality of our schedule for systems with linear gap and the partial optimality for general systems, while we also rigorously show that the commonly used linear schedule is never optimal.
format Preprint
id arxiv_https___arxiv_org_abs_2512_10329
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Improved gap dependence in adiabatic state preparation by adaptive schedule
Guo, Xi
An, Dong
Quantum Physics
Adiabatic quantum computing is a powerful framework for state preparation, while its evolution time often scales quadratically in the inverse Hamiltonian spectral gap, leading to sub-optimal computational complexity. In this work, we introduce a nonlinear adaptive strategy for finding the time scheduling function, and show that the gap dependence can be quadratically improved to be inverse linear for a wide range of systems under a mild gap measure condition. Through variational analysis, we further demonstrate the optimality of our schedule for systems with linear gap and the partial optimality for general systems, while we also rigorously show that the commonly used linear schedule is never optimal.
title Improved gap dependence in adiabatic state preparation by adaptive schedule
topic Quantum Physics
url https://arxiv.org/abs/2512.10329