Quantum Machine Learning
3,957 papers
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 3529-3540 of 3,957
Machine learning engineering of quantum currents
Tobias Haug, Rainer Dumke, Leong-Chuan Kwek, Christian Miniatura, Luigi Amico
Machine learning for molecular simulation
Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi
Machine learning for optimal parameter prediction in quantum key distribution
Wenyuan Wang, Hoi-Kwong Lo
Machine learning logical gates for quantum error correction
Hongxiang Chen, Michael Vasmer, Nikolas P. Breuckmann, Edward Grant
Many-body calculations for periodic materials via quantum machine learning
Shu Kanno, Tomofumi Tada
On the Classical Hardness of Spoofing Linear Cross-Entropy Benchmarking
Scott Aaronson, Sam Gunn
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
Pembelajaran Tematik Terpadu dengan Menggunakan Model Quantum Teaching
Nadya Yolanda, Reinita Reinita
PENGARUH MODEL QUANTUM LEARNING TERHADAP PEMAHAMAN KONSEP DAN HASIL BELAJAR SISWA KELAS X
Anisa Anisa, Rosane Medriati, Desy Hanisa Putri
Point-ahead demonstration of a transmitting antenna for satellite quantum communication
Xuan Han, Hai-Lin Yong, Ping Xu, Wei-Yang Wang, Kui-Xing Yang, Hua-Jian Xue, Wen-Qi Cai, Ji-Gang Ren, Cheng-Zhi Peng, Jian-Wei Pan
Portfolio rebalancing experiments using the Quantum Alternating Operator Ansatz
Mark Hodson, Brendan Ruck, Hugh Ong, David Garvin, Stefan Dulman
Prediction of Major Regio-, Site-, and Diastereoisomers in Diels-Alder Reactions by Using Machine-Learning: The Importance of Physically Meaningful Descriptors.
Beker W, Gajewska EP, Badowski T, Grzybowski BA