194 citations · 1.6k across the 44 of their papers we have counts for
6 papers · 2 filters
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…
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…
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…
Exponential enhancement of quantum metrology using continuous variables
Li Sun, Xi He, Chenglong You +4
Coherence time is an important resource to generate enhancement in quantum metrology. In this work, based on continuous-variable models, we propose a new design of the signal-probe…
Quantum transfer component analysis for domain adaptation
Xi He, Chufan Lyu, Min-Hsiu Hsieh +1
Domain adaptation, a crucial sub-field of transfer learning, aims to utilize known knowledge of one data set to accomplish tasks on another data set. In this paper, we perform one…
Quantum subspace alignment for domain adaptation
Xi He
Domain adaptation (DA) is used for adaptively obtaining labels of an unprocessed data set with a given related, but different labelled data set. Subspace alignment (SA), a represen…