Quantum Machine Learning
4,297 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 2209-2220 of 4,297
BHT-QAOA: Generalizing Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians
Ali Al-Bayaty, Marek Perkowski
Biclustering a dataset using photonic quantum computing
Ajinkya Borle, Ameya Bhave
Biclustering a dataset using photonic quantum computing
Ajinkya Borle, Ameya Bhave
BOOK REVIEW ON LANGUAGE(S) AND TRANSLATION BY MOHAMMED JADIR
SAID FATHI
Boosting the Validity of Multi-Class Quantum Outputs: Living on the Edge
Nathaniel Helgesen, Michael Felsberg, Jan-Åke Larsson
BRIDGING BORDERS: EXPAT TEACHERS NAVIGATING CROSS-CULTURAL CHALLENGES IN CHINA
LE ROUJIA, IREENA NASIHA IBNU, TENGKU ELENA TENGKU MAHAMAD
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
Alona Sakhnenko, Julian Sikora, Jeanette Miriam Lorenz
Can Entanglement-enhanced Quantum Kernels Improve Data Classification?
Anand Babu, Saurabh G. Ghatnekar, Amit Saxena, Dipankar Mandal
Can foreign exchange rates violate Bell inequalities?
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana, Vrinda Mehta, Madita Willsch, Dennis Willsch, Kristel Michielsen, Fengping Jin
Capturing dynamics and thermodynamics of a three-level quantum heat engine via programmable quantum circuits
Gao-xiang Deng, Zhe He, Yu Liu, Wei Shao, Zheng Cui
Certifiably Robust Encoding Schemes
Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
Challenges with Differentiable Quantum Dynamics
Sri Hari Krishna Narayanan, Michael Perlin, Robert Lewis-Swan, Jeffrey Larson, Matt Menickelly, Jan Hückelheim, Paul Hovland