3 papers
quant-ph2025
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…
quant-ph2024
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…
quant-ph2024
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…