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Learning response functions of analog quantum computers: analysis of neutral-atom and superconducting platforms

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arxiv 2503.12520 v1 pith:LPA5JNG7 submitted 2025-03-16 quant-ph stat.AP

Cenk Tüysüz , Abhijith Jayakumar , Carleton Coffrin , Marc Vuffray , Andrey Y. Lokhov This is my paper · ORCID
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keywords quantumanalogresponsecomputersneutral-atomparameterssuperconductingfunction
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Analog quantum computation is an attractive paradigm for the simulation of time-dependent quantum systems. Programmable analog quantum computers have been realized in hardware using a variety of physical principles, including neutral-atom and superconducting technologies. The input parameters of the physical Hamiltonians that are used to program the quantum simulator generally differ from the parameters that characterize the output distribution of data produced under a specified quantum dynamics. The relationship between the input and output parameters is known as the response function of the analog device. Here, we introduce a streaming algorithm for learning the response function of analog quantum computers from arbitrary user inputs, thus not requiring special calibration runs. We use the method to learn and compare the response functions of several generations of analog quantum simulators based on superconducting and neutral-atom programmable arrays.

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Cited by 2 Pith papers

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  1. Magnetic Memory and Hysteresis from Quantum Transitions: Theory and Experiments on Quantum Annealers

    quant-ph 2025-07 conditional novelty 6.0 of 10

    A hybrid Landau-Zener plus semiclassical domain-wall kinetics model reproduces quantum hysteresis observed in up to 4,906-qubit D-Wave experiments, where classical 1D systems would show no hysteresis.

  2. Geometry-Induced Domain-Wall Pinning and $\mathbb{Z}_2$ Asymmetry in Nominally One-Dimensional Rydberg Arrays

    quant-ph 2026-07 conditional novelty 4.0 of 10

    Corner geometry and atom vacancies in planar folded 1D Rydberg arrays pin domain walls and break Z2 symmetry between Rydberg and ground states.

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