aiqbench analysis
This paper presents PhoQuS, a simulation workflow that links device-level physics, such as frequency-resolved sources and fabrication variation, to protocol-level fidelity in photonic quantum circuits. Its main practical contribution is a covariance-based reduction that makes photon-counting calculations about 60 times faster in one continuous-variable example. For readers tracking photonic quantum computing, the useful takeaway is that component robustness alone does not predict circuit fidelity, so design tools need to model source spectra and control jointly.
Device-to-protocol simulation of spectrally-resolved quantum photonic circuits
arXiv:2610.16150v1 Announce Type: new Abstract: Predicting quantum-photonic circuit performance requires retaining source and device physics without making photon-counting calculations prohibitively expensive. Here we present PhoQuS, a framework that combines frequency-resolved source models, electromagnetic compact models and spatially correlated fabrication variation to simulate quantum photonic circuits. Covariance-Gram reduction after full-resolution Gaussian propagation lowers readout cost while retaining dominant spectral correlations. For continuous-variable state preparation, spectral reduction accelerates photon counting by 60.4-fold in an approximate Gottesman-Kitaev-Preskill circuit. Frequency-resolved modeling guides the use of cascaded squeezing with temporal walk-off compensation, yielding 0.99 fidelity to the single-mode circuit reference and 0.98 conditional purity in lossless simulations. For discrete-variable state preparation, simulations of three-photon Greenberger-Horne-Zeilinger circuits across a virtual wafer show that component robustness alone does not predict circuit fidelity, which depends jointly on source spectra, circuit architecture and control. PhoQuS connects device physics to protocol-level performance through a unified workflow that retains spectral detail while reducing readout cost.
Abstract:Predicting quantum-photonic circuit performance requires retaining source and device physics without making photon-counting calculations prohibitively expensive. Here we present PhoQuS, a framework that combines frequency-resolved source models, electromagnetic compact models and spatially correlated fabrication variation to simulate quantum photonic circuits. Covariance-Gram reduction after full-resolution Gaussian propagation lowers readout cost while retaining dominant spectral correlations. For continuous-variable state preparation, spectral reduction accelerates photon counting by 60.4-fold in an approximate Gottesman-Kitaev-Preskill circuit. Frequency-resolved modeling guides the use of cascaded squeezing with temporal walk-off compensation, yielding 0.99 fidelity to the single-mode circuit reference and 0.98 conditional purity in lossless simulations. For discrete-variable state preparation, simulations of three-photon Greenberger-Horne-Zeilinger circuits across a virtual wafer show that component robustness alone does not predict circuit fidelity, which depends jointly on source spectra, circuit architecture and control. PhoQuS connects device physics to protocol-level performance through a unified workflow that retains spectral detail while reducing readout cost.
arXiv:2610.16150 [quant-ph]
(or arXiv:2610.16150v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.16150 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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