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 25-36 of 521
A solution for constructing quantum – resistant digital signature schemes
Lưu Hồng Dũng, Nguyen Kim Tuan, Nong Phuong Trang, Pham Van Quoc
A Survey of Methods for Mitigating Barren Plateaus for Parameterized Quantum Circuits
Michelle Gelman
A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems
Lorenzo Brevi, Antonio Mandarino, Enrico Prati
Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation
Rong Fu, Zhongling Su, Han-Sen Zhong, Xiti Zhao, Jianyang Zhang, Feng Pan, Pan Zhang, Xianhe Zhao, Ming-Cheng Chen, Chao-Yang Lu, Jian-Wei Pan, Zhiling Pei, Xingcheng Zhang, Wanli Ouyang
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