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Hong-Ye Hu

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Preprint Aug 2026

Provably Efficient Self-Calibrating Quantum Fault Tolerance

Quantum error correction protects logical information only when every physical operation remains below the fault-tolerance threshold, a condition that must be maintained continuously rather than only at the initial calibration. In practice, however, analog control parameters inevitably drift because of environmental fl...

Weiyuan Gong, Hong-Ye Hu · 0 citations
Preprint Jul 2026

Covariant Approximate Quantum Codes for Protected Analog Computation

Symmetry-preserving Hamiltonians generate block-structured dynamical Lie algebras implementable transversally, while controlled symmetry-breaking terms serve as non-transversal resources for universal dynamics.

Mariia Elovenkova, Hong-Ye Hu, Susanne F. Yelin · 2 citations
Preprint Jul 2026

Covariant Approximate Quantum Codes for Protected Analog Computation

Quantum error correction compatible with continuous symmetries is a fundamental problem in quantum information and a possible route to robust analog quantum simulation. Because the Eastin-Knill theorem forbids exact codes with continuous transversal symmetries, we construct explicit $SU(d)$-covariant approximate codes...

Mariia Elovenkova, Hong-Ye Hu, Susanne F. Yelin · 2 citations
Preprint Aug 2026

Generative Learning for Quantum Measurement Design

FlowMeas is introduced, which uses a generative flow network to directly sample finite ensembles of shallow Clifford measurement circuits subject to a prescribed shot budget and hardware constraints, and establishes generative learning as a flexible and unified framework for quantum measurement design under practical r...

Jun Dai, O. Nahman-Lévesque, Guillaume Rabusseau et al. · 0 citations

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