The paper formalizes backend identifiability as hypothesis testing, proves anonymity decays at the Chernoff rate under persistent i.i.d. probing, establishes a utility-anonymity trade-off, and demonstrates 87-100% backend classification on real cloud QPUs.
Quantum phases of matter on a 256-atom programmable quantum simulator.Nature, 595(7866):227–232, 2021
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MZeQAS accelerates quantum architecture search for VQAs by replacing full training of candidates with a zero-shot performance estimate derived from QNTK Gram-matrix convergence.
citing papers explorer
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Routing Anonymity and Identifiability of Noisy Quantum Hardware
The paper formalizes backend identifiability as hypothesis testing, proves anonymity decays at the Chernoff rate under persistent i.i.d. probing, establishes a utility-anonymity trade-off, and demonstrates 87-100% backend classification on real cloud QPUs.
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Zero-shot Quantum Neural Architecture Search
MZeQAS accelerates quantum architecture search for VQAs by replacing full training of candidates with a zero-shot performance estimate derived from QNTK Gram-matrix convergence.