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20232025
most citedTowards provably efficient quantum algorithms for large-scale machine-learning models

84 citations · 131 across the 12 of their papers we have counts for

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quant-ph2025

Scaling Quantum Networks via Phase-Stable Vacuum Beam Guide: Architectural Blueprint and Benchmark

Yuexun Huang, Delaney Smith, Pei Zeng +4

Scaling quantum networks to continental distances requires physical infrastructure capable of overcoming both exponential attenuation and severe phase decoherence. While the concep…

quant-ph2025

Advancing quantum imaging through learning theory

Yunkai Wang, Changhun Oh, Junyu Liu +2

We study quantum imaging by applying the resolvable expressive capacity (REC) formalism developed for physical neural networks (PNNs). In this paradigm of quantum learning, the ima…