21 citations · 76 across the 14 of their papers we have counts for
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quant-ph2020★ 18 cited
Quantum reinforcement learning in continuous action space
Shaojun Wu, Shan Jin, Dingding Wen +2
Quantum reinforcement learning (QRL) is a promising paradigm for near-term quantum devices. While existing QRL methods have shown success in discrete action spaces, extending these…
quant-ph2020★ 14 cited
A Query-based Quantum Eigensolver
Shan Jin, Shaojun Wu, Guanyu Zhou +4
Solving eigenvalue problems is crucially important for both classical and quantum applications. Many well-known numerical eigensolvers have been developed, including the QR and the…
quant-ph2020
Multi-layer quantum search and inclusion of NP into BQP
Shan Jin, Xiaoting Wang, Bo Li
In this work, we present a multi-layer quantum search method that generates an exponential speedup of the standard Grover's algorithm. As direct applications, any NP problems can b…