Introduces local-circuit approximations to quasilocal dissipative processes for efficient, provably convergent quantum Gibbs sampling at high temperatures.
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Binary-detector Gaussian boson sampling is proposed for sample-efficient graph classification, with an investigation into its connection to the Torontonian matrix function.
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Efficient Quantum Gibbs Sampling with Local Circuits
Introduces local-circuit approximations to quasilocal dissipative processes for efficient, provably convergent quantum Gibbs sampling at high temperatures.
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Sample efficient graph classification using binary Gaussian boson sampling
Binary-detector Gaussian boson sampling is proposed for sample-efficient graph classification, with an investigation into its connection to the Torontonian matrix function.