Probing spectral features of quantum many-body systems with quantum simulators

The efficient probing of spectral features is important for characterising and understanding the structure and dynamics of quantum materials. In this work, we establish a framework for probing the excitation spectrum of quantum many-body systems with quantum simulators. Our approach effectively realises a spectral detector by processing the dynamics of observables with time intervals drawn from a defined probability distribution, which only requires native time evolution governed by the Hamiltonian without ancilla. The critical element of our method is the engineered emergence of frequency resonance such that the excitation spectrum can be probed. We show that the time complexity for transition energy estimation has a logarithmic dependence on simulation accuracy and how such observation can be guaranteed in certain many-body systems. We discuss the noise robustness of our spectroscopic method and show that the total running time maintains polynomial dependence on accuracy in the presence of device noise. We further numerically test the error dependence and the scalability of our method for lattice models. We present simulation results for the spectral features of typical quantum systems, either gapped or gapless, including quantum spins, fermions and bosons. We demonstrate how excitation spectra of spin-lattice models can be probed experimentally with IBM quantum devices.

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Publication Details

Journal
Nature Communications
Published
2025-02-06
DOI
https://doi.org/10.1038/s41467-025-55955-2
Citations
9
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
22.33

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article

Probing spectral features of quantum many-body systems with quantum simulators

Lucia Vilchez-Estevez, A. T. Boothroyd, Jinzhao Sun, Vlatko Vedral et al.
9 citations
Nature Communications
Quantum Computing Algorithms and Architecture
22.33
article

Probing spectral features of quantum many-body systems with quantum simulators

Lucia Vilchez-Estevez, A. T. Boothroyd, Jinzhao Sun, Vlatko Vedral, M. S. Kim
article en
9 citations

Abstract

The efficient probing of spectral features is important for characterising and understanding the structure and dynamics of quantum materials. In this work, we establish a framework for probing the excitation spectrum of quantum many-body systems with quantum simulators. Our approach effectively realises a spectral detector by processing the dynamics of observables with time intervals drawn from a defined probability distribution, which only requires native time evolution governed by the Hamiltonian without ancilla. The critical element of our method is the engineered emergence of frequency resonance such that the excitation spectrum can be probed. We show that the time complexity for transition energy estimation has a logarithmic dependence on simulation accuracy and how such observation can be guaranteed in certain many-body systems. We discuss the noise robustness of our spectroscopic method and show that the total running time maintains polynomial dependence on accuracy in the presence of device noise. We further numerically test the error dependence and the scalability of our method for lattice models. We present simulation results for the spectral features of typical quantum systems, either gapped or gapless, including quantum spins, fermions and bosons. We demonstrate how excitation spectra of spin-lattice models can be probed experimentally with IBM quantum devices.

Nature CommunicationsVol. 16(1)
Clarendon College (US), University of Oxford (GB), Imperial College London (GB)
Gordon and Betty Moore Foundation, National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Samsung, Engineering and Physical Sciences Research Council, Clarendon Fund
Affordable and clean energy
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
22.33
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