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Efficient simulation of many-body quantum systems is central to advances in physics, chemistry, and quantum computing, with a key question being whether the simulation cost scales polynomially with the system size. In this work, we analyze…

量子物理 · 物理学 2026-03-31 Di Fang , Xiaoxu Wu , Avy Soffer

Efficient error estimates for the Trotter product formula are central in quantum computing, mathematical physics, and numerical simulations. However, the Trotter error's dependency on the input state and its application to unbounded…

量子物理 · 物理学 2024-11-28 Daniel Burgarth , Paolo Facchi , Alexander Hahn , Mattias Johnsson , Kazuya Yuasa

Simulating quantum dynamics beyond the reach of classical computers is one of the main envisioned applications of quantum computers. The most promising quantum algorithms to this end in the near-term are the simplest, which use the Trotter…

量子物理 · 物理学 2022-05-25 David Layden

Trotterization is one of the central approaches for simulating quantum many-body dynamics on quantum computers or tensor networks. In addition to its simple implementation, recent studies have revealed that its error and cost can be reduced…

量子物理 · 物理学 2025-10-17 Kaoru Mizuta , Tomotaka Kuwahara

We consider simulating quantum systems on digital quantum computers. We show that the performance of quantum simulation can be improved by simultaneously exploiting commutativity of the target Hamiltonian, sparsity of interactions, and…

量子物理 · 物理学 2021-07-06 Yuan Su , Hsin-Yuan Huang , Earl T. Campbell

We establish tight connections between entanglement entropy and the approximation error in Trotter-Suzuki product formulas for Hamiltonian simulation. Product formulas remain the workhorse of quantum simulation on near-term devices, yet…

量子物理 · 物理学 2026-02-03 Prateek P. Kulkarni

Quantum simulation is a promising application of future quantum computers. Product formulas, or Trotterization, are the oldest and still remain an appealing method to simulate quantum systems. For an accurate product formula approximation,…

量子物理 · 物理学 2024-11-04 Chi-Fang , Chen , Fernando G. S. L. Brandão

Trotterization is the most common and convenient approximation method for Hamiltonian simulations on digital quantum computers, but estimating its error accurately is computationally difficult for large quantum systems. Here, we develop a…

量子物理 · 物理学 2024-09-19 Tatsuhiko N. Ikeda , Hideki Kono , Keisuke Fujii

We present a method to calculate many-body states of interacting carriers in million atom quantum nanostructures based on atomistic tight-binding calculations and a combination of iterative selection of configurations and perturbation…

介观与纳米尺度物理 · 物理学 2020-05-27 Moritz Cygorek , Matthew Otten , Marek Korkusinski , Pawel Hawrylak

We propose a hybrid approach to simulate quantum many body dynamics by combining Trotter based quantum algorithm with classical dynamic mode decomposition. The interest often lies in estimating observables rather than explicitly obtaining…

量子物理 · 物理学 2023-07-31 Niladri Gomes , Jia Yin , Siyuan Niu , Chao Yang , Wibe Albert de Jong

Universal quantum simulation may provide insights into those many-body systems that cannot be described classically, and that cannot be efficiently simulated with current technology. The Trotter formula, which decomposes a desired unitary…

量子物理 · 物理学 2015-06-09 George C. Knee , William J. Munro

A complex but important challenge in understanding quantum mechanical phenomena is the simulation of quantum many-body dynamics. Although quantum computers offer significant potential to accelerate these simulations, their practical…

量子物理 · 物理学 2025-09-26 Gian Gentinetta , Friederike Metz , Giuseppe Carleo

Understanding the dynamics of quantum systems is crucial in many areas of physics, but simulating many-body systems presents significant challenges due to the large Hilbert space to navigate and the exponential growth of computational…

量子物理 · 物理学 2025-03-14 Sangjin Lee , Youngseok Kim , Seung-Woo Lee

Operator scrambling, which governs the spread of quantum information in many-body systems, is a central concept in both condensed matter and high-energy physics. Accurately capturing the emergent properties of these systems remains a…

量子物理 · 物理学 2025-07-01 Tianfeng Feng , Yue Cao , Qi Zhao

Hamiltonian simulations are key subroutines in adiabatic quantum computation, quantum control, and quantum many-body physics, where quantum dynamics often happen in the low-energy sector. In contrast to time-independent Hamiltonian…

量子物理 · 物理学 2026-01-06 Shuo Zhou , Zhaokai Pan , Weiyuan Gong , Tongyang Li

The Lie-Trotter formula, together with its higher-order generalizations, provides a direct approach to decomposing the exponential of a sum of operators. Despite significant effort, the error scaling of such product formulas remains poorly…

量子物理 · 物理学 2021-02-05 Andrew M. Childs , Yuan Su , Minh C. Tran , Nathan Wiebe , Shuchen Zhu

We derive higher-order error bounds with small prefactors for a general Trotter product formula, generalizing a result of Childs et al. [Phys. Rev. X 11, 011020 (2021)]. We then apply these bounds to the real-time quantum time evolution…

量子物理 · 物理学 2023-11-06 Ansgar Schubert , Christian B. Mendl

Digital quantum simulation of many-body dynamics relies on Trotterization to decompose the target time evolution into elementary quantum gates operating at a fixed equidistant time discretization. Recent advances have outlined protocols…

量子物理 · 物理学 2024-06-11 Hongzheng Zhao , Ao Chen , Shu-Wei Liu , Marin Bukov , Markus Heyl , Roderich Moessner

Recent studies have shown that Trotter errors are highly initial-state dependent and that standard upper bounds often substantially overestimate them. However, the mechanism underlying anomalously small Trotter errors and a systematic route…

量子物理 · 物理学 2026-04-01 Bozhen Zhou , Qi Zhao , Pan Zhang

Quantum dynamics can be simulated on a quantum computer by exponentiating elementary terms from the Hamiltonian in a sequential manner. However, such an implementation of Trotter steps has gate complexity depending on the total Hamiltonian…

量子物理 · 物理学 2023-05-15 Guang Hao Low , Yuan Su , Yu Tong , Minh C. Tran
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