295 citations · 614 across the 10 of their papers we have counts for
10 papers
Hybrid Quantum-Classical Convolutional Neural Networks
Junhua Liu, Kwan Hui Lim, Kristin L. Wood +3
Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be a…
Device-Independent Quantum Private Query Protocol without the Assumption of Perfect Detectors
Dan-Dan Li, Xiao-Hong Huang, Wei Huang +1
The first device-independent quantum private query protocol (MRT17) which is proposed by Maitra \emph{et al.} [Phys. Rev. A 95, 042344 (2017)] to enhance the security through the c…
QKD-based quantum private query without a failure probability
Bin Liu, Fei Gao, Wei Huang +1
In this paper, we present a quantum-key-distribution (QKD)-based quantum private query (QPQ) protocol utilizing single-photon signal of multiple optical pulses. It maintains the ad…
Quantum bit commitment with cheat sensitive binding and approximate sealing
Yan-Bing Li, Sheng-Wei Xu, Wei Huang +1
This paper proposes a cheat sensitive quantum bit commitment (CSQBC) scheme based on single photons, in which Alice commits a bit to Bob. Here, Bob only can cheat the committed bit…
Hidden Quantum Markov Models and Open Quantum Systems with Instantaneous Feedback
Lewis A. Clark, Wei Huang, Thomas M. Barlow +1
Hidden Markov Models are widely used in classical computer science to model stochastic processes with a wide range of applications. This paper concerns the quantum analogues of the…
Post-processing of the oblivious key in quantum private queries
Fei Gao, Bin Liu, Wei Huang +1
Quantum private query (QPQ) is a kind of quantum protocols to protect both users' privacy in their communication. There is an interesting example, that is, Alice wants to buy one i…