Quantum Machine Learning
521 papers for year 2024
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 13-24 of 521
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor
Maida Wang, Jinyang Jiang, Peter V. Coveney
A physics-inspired evolutionary machine learning method: from the Schrödinger equation to an orbital-free-DFT kinetic energy functional
Juan I. Rodriguez, Ulises A. Vergara-Beltran
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano, Giovanna Turvani, Robert Wille
A Primer on 2D Descriptors in Selectivity Modeling for Asymmetric Catalysis.
Sidorov P, Tsuji N
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh
A quantum computing measurement and control system with an FPGA-based scheduling system.
Liu Y, Li Y.
A quantum GAN for entanglement detection and image classification
James E. Steck, Elizabeth C. Behrman
A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
Dean Brand, Francesco Petruccione
A quantum machine learning classifier to search for new physics
Ji-Chong Yang, Shuai Zhang, Chong-Xing Yue
A Quantum Neural Network-Based Approach to Power Quality Disturbances Detection and Recognition
Guo-Dong Li, Hai-Yan He, Yue Li, Xin-Hao Li, Hao Liu, Qing-Le Wang, Long Cheng
A Quantum Vault Scheme for Digital Currency
Anne Broadbent, Raza Ali Kazmi, Cyrus Minwalla
A Quantum-Inspired Analysis of Human Disambiguation Processes
Daphne Wang