12 citations · 12 across the 3 of their papers we have counts for
3 papers
Quantum optical neural networks using atom-cavity interactions to provide all-optical nonlinearity
Chuanzhou Zhu, Tianyu Wang, Peter L. McMahon +1
Optical neural networks (ONNs) have been developed to enhance processing speed and energy efficiency in machine learning by leveraging optical devices for nonlinear activation and…
Minimalistic and Scalable Quantum Reservoir Computing Enhanced with Feedback
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) leverages quantum systems to perform complex computational tasks with exceptional efficiency and reduced energy consumption. We introduce a minima…
Practical Few-Atom Quantum Reservoir Computing
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) harnesses quantum systems to tackle intricate computational problems with exceptional efficiency and minimized energy usage. This paper presents a…