Digital adiabatic evolution is universally accurate

Adiabatic evolution is a central paradigm in quantum physics. Digital simulations of adiabatic processes are generally regarded as resource-intensive, not only because of the long evolution time required, but also because algorithmic errors typically accumulate throughout the evolution, thereby demanding exceptionally deep circuits to preserve accuracy. This work demonstrates that digital adiabatic evolution is intrinsically accurate and robust to simulation errors. We analyze two Hamiltonian simulation methods—Trotterization and generalized quantum signal processing—and prove that the simulation error does not increase with time. We further show that accurate time-dependent adiabatic evolution can be achieved using only time-independent Hamiltonian-simulation algorithms. Numerical simulations of the adiabatic algorithms for molecular systems and linear equations confirm the theory, revealing that digital adiabatic evolution is substantially more efficient than previously assumed. Remarkably, our estimation for the first-order Trotterization error can be 106 times tighter than previous analyses for the transverse field Ising model even with less than 6 qubits. The findings establish fundamental robustness of digital adiabatic evolution and provide a basis for accurate, efficient implementations on fault-tolerant-and potentially near-term–quantum platforms. In this study, the authors show that digital adiabatic evolution is highly robust to simulation errors. Rather than accumulating, these errors self-cancel and even decrease over time, enabling highly efficient algorithms on near-term and future quantum computers.

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Publication Details

Journal
Nature Communications
Published
2026-05-21
DOI
https://doi.org/10.1038/s41467-026-73249-z
Primary Topic
Advanced Electron Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital adiabatic evolution is universally accurate

Dingshun Lv, Xiao Yuan, Yihua Lu, Dong Sung An et al.
Nature Communications
Advanced Electron Microscopy Techniques and Applications
article

Digital adiabatic evolution is universally accurate

Dingshun Lv, Xiao Yuan, Yihua Lu, Dong Sung An, Qi Zhao, Yifei Huang
article en

Abstract

Adiabatic evolution is a central paradigm in quantum physics. Digital simulations of adiabatic processes are generally regarded as resource-intensive, not only because of the long evolution time required, but also because algorithmic errors typically accumulate throughout the evolution, thereby demanding exceptionally deep circuits to preserve accuracy. This work demonstrates that digital adiabatic evolution is intrinsically accurate and robust to simulation errors. We analyze two Hamiltonian simulation methods—Trotterization and generalized quantum signal processing—and prove that the simulation error does not increase with time. We further show that accurate time-dependent adiabatic evolution can be achieved using only time-independent Hamiltonian-simulation algorithms. Numerical simulations of the adiabatic algorithms for molecular systems and linear equations confirm the theory, revealing that digital adiabatic evolution is substantially more efficient than previously assumed. Remarkably, our estimation for the first-order Trotterization error can be 106 times tighter than previous analyses for the transverse field Ising model even with less than 6 qubits. The findings establish fundamental robustness of digital adiabatic evolution and provide a basis for accurate, efficient implementations on fault-tolerant-and potentially near-term–quantum platforms. In this study, the authors show that digital adiabatic evolution is highly robust to simulation errors. Rather than accumulating, these errors self-cancel and even decrease over time, enabling highly efficient algorithms on near-term and future quantum computers.

Nature Communications
Beijing Institute of Fashion Technology (CN), Peking University (CN), Beijing Dance Academy (CN), Peking University International Hospital (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Peking University, National Science and Technology Major Project, NSAF Joint Fund, Fundamental Research Funds for the Central Universities, Beijing Science and Technology Planning Project, National Safety Academic Fund, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 100%
Advanced Electron Microscopy Techniques and Applications
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