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 2173-2184 of 4,297
Adaptive Learning for Quantum Linear Regression
Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi
Adaptive measurement strategy for noisy quantum amplitude estimation with variational quantum circuits
Kohei Oshio, Yohichi Suzuki, Kaito Wada, Keigo Hisanaga, Shumpei Uno, Naoki Yamamoto
Adaptivity can help exponentially for shadow tomography
Sitan Chen, Weiyuan Gong, Zhihan Zhang
ADDRESSING CHALLENGES AND ISSUES IN ESTABLISHING A HALAL PHARMACY FOR MUSLIM COMMUNITIES
NUR MARFAIZA MAZUKI, AZRI BHARI
Adiabatic training for Variational Quantum Algorithms
Ernesto Acosta, Carlos Cano Gutierrez, Guillermo Botella, Roberto Campos
Advanced Techniques for High-Performance Fock Matrix Construction on GPU Clusters
Elise Palethorpe, Ryan Stocks, Giuseppe M. J. Barca
Advantages of density in tensor network geometries for gradient based training
Sergi Masot-Llima, Artur Garcia-Saez
Agnostic Process Tomography
Chirag Wadhwa, Laura Lewis, Elham Kashefi, Mina Doosti
AI-Driven Identification of Critical Dependencies in US-China Technology Supply Chains: Implications for Economic Security Policy
Guoli Rao, Chengru Ju, Zhen Feng
AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs
Christian Conti, Deborah Volpe, Mariagrazia Graziano, Maurizio Zamboni, Giovanna Turvani
An Accessible Planar Charged Particle Trap for Experiential Learning in Quantum Technologies
Robert E. Thomas, Cole E. Wolfram, Noah B. Warren, Isaac J. Fouch, Boris B. Blinov, Maxwell F. Parsons
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
Allan Grønlund, Kasper Green Larsen