Large-scale simulations of Floquet physics on near-term quantum computers

Abstract Periodically driven quantum systems exhibit a diverse set of phenomena but are more challenging to simulate than their equilibrium counterparts. Here, we introduce the Quantum High-Frequency Floquet Simulation (QHiFFS) algorithm as a method to simulate fast-driven quantum systems on quantum hardware. Central to QHiFFS is the concept of a kick operator which transforms the system into a basis where the dynamics is governed by a time-independent effective Hamiltonian. This allows prior methods for time-independent simulation to be lifted to simulate Floquet systems. We use the periodically driven biaxial next-nearest neighbor Ising (BNNNI) model, a natural test bed for quantum frustrated magnetism and criticality, as a case study to illustrate our algorithm. We implemented a 20-qubit simulation of the driven two-dimensional BNNNI model on Quantinuum’s trapped ion quantum computer. Our error analysis shows that QHiFFS exhibits not only a cubic advantage in driving frequency ω but also a linear advantage in simulation time t compared to Trotterization.

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Publication Details

Journal
npj Quantum Information
Published
2024-09-13
DOI
https://doi.org/10.1038/s41534-024-00866-1
Citations
8
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
2.03

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article

Large-scale simulations of Floquet physics on near-term quantum computers

Refik Mansuroglu, Piotr Czarnik, Łukasz Cincio, Andrew T. Sornborger et al.
8 citations
npj Quantum Information
Quantum many-body systems
2.03
article

Large-scale simulations of Floquet physics on near-term quantum computers

Refik Mansuroglu, Piotr Czarnik, Łukasz Cincio, Andrew T. Sornborger, Michael J. Hartmann, Jian‐Xin Zhu, Zoë Holmes, Timo Eckstein
article en
8 citations

Abstract

Abstract Periodically driven quantum systems exhibit a diverse set of phenomena but are more challenging to simulate than their equilibrium counterparts. Here, we introduce the Quantum High-Frequency Floquet Simulation (QHiFFS) algorithm as a method to simulate fast-driven quantum systems on quantum hardware. Central to QHiFFS is the concept of a kick operator which transforms the system into a basis where the dynamics is governed by a time-independent effective Hamiltonian. This allows prior methods for time-independent simulation to be lifted to simulate Floquet systems. We use the periodically driven biaxial next-nearest neighbor Ising (BNNNI) model, a natural test bed for quantum frustrated magnetism and criticality, as a case study to illustrate our algorithm. We implemented a 20-qubit simulation of the driven two-dimensional BNNNI model on Quantinuum’s trapped ion quantum computer. Our error analysis shows that QHiFFS exhibits not only a cubic advantage in driving frequency ω but also a linear advantage in simulation time t compared to Trotterization.

npj Quantum InformationVol. 10(1)
Jagiellonian University (PL), Los Alamos National Laboratory (US), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Max Planck Institute for the Science of Light (DE), Center for Integrated Nanotechnologies (US), École Polytechnique Fédérale de Lausanne (CH)
U.S. Department of Energy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Narodowe Centrum Nauki, Uniwersytet Jagielloński w Krakowie, Office of Science, National Nuclear Security Administration, Advanced Scientific Computing Research, Oak Ridge National Laboratory, Los Alamos National Laboratory
Openalex Percentile: Top 13%
Quantum many-body systems
2.03
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