Benchmarking adiabatic transformation by alternating unitaries

Adiabatic transformation can be approximated as alternating unitary operators of a Hamiltonian and its parameter derivative as proposed in a gate-based approach to counterdiabatic driving [D. van Vreumingen, Phys. Rev. A 110, 052419 (2024)]. In this paper, we conduct numerical benchmarking of this alternating unitary method in a finite parameter range against adiabatic driving in a nonadiabatic timescale. We find that the alternating unitary method results in a broader distribution on energy eigenstates than that obtained by adiabatic driving, but it has the ability to sample low-energy eigenstates when an energy gap of a given Hamiltonian is small. It indicates that the alternating unitary method may be able to find good approximate solutions in quantum annealing applied to hard instances.

Authors

Institutions

Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-02-10
DOI
https://doi.org/10.1103/physreva.111.022411
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
4.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Benchmarking adiabatic transformation by alternating unitaries

Takuya Hatomura
2 citations
Physical review. A/Physical review, A
Quantum Computing Algorithms and Architecture
4.96
article

Benchmarking adiabatic transformation by alternating unitaries

Takuya Hatomura
article en
2 citations

Abstract

Adiabatic transformation can be approximated as alternating unitary operators of a Hamiltonian and its parameter derivative as proposed in a gate-based approach to counterdiabatic driving [D. van Vreumingen, Phys. Rev. A 110, 052419 (2024)]. In this paper, we conduct numerical benchmarking of this alternating unitary method in a finite parameter range against adiabatic driving in a nonadiabatic timescale. We find that the alternating unitary method results in a broader distribution on energy eigenstates than that obtained by adiabatic driving, but it has the ability to sample low-energy eigenstates when an energy gap of a given Hamiltonian is small. It indicates that the alternating unitary method may be able to find good approximate solutions in quantum annealing applied to hard instances.

Physical review. A/Physical review, AVol. 111(2)
NTT Basic Research Laboratories (JP)
Japan Science and Technology Agency
Openalex Percentile: Top 6%
Quantum Computing Algorithms and Architecture
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.