A simple quantum simulation algorithm with near-optimal precision scaling
Abstract Quantum simulation is a foundational application for quantum computers, projected to offer insights into complex quantum systems beyond the reach of classical computation. However, with the exception of Trotter-based methods, which suffer from suboptimal scaling with respect to simulation precision, existing simulation techniques are, for the most part, too intricate to implement on early fault-tolerant quantum hardware. We propose a quantum Hamiltonian dynamics simulation algorithm that aims to be both straightforward to implement and, at the same time, have near-optimal scaling in simulation precision.
Authors
- Amir Kalev (ORCID: https://orcid.org/0000-0002-6618-9622)
- Itay Hen (ORCID: https://orcid.org/0000-0002-7009-7739)
Institutions
- University of Southern California (US)
Publication Details
- Journal
- Quantum Science and Technology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1088/2058-9565/ae075a
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00