Quantum Machine Learning
4,009 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 1357-1368 of 4,009
VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers
Chi Zhang, Mengxin Zheng, Qian Lou, Hui Min Leung, Fan Chen
Wavelet Variance Equipartition as a Threshold for World-Model Quality and Quantum Kernel TN-Simulability
Chon-Fai Kam, Xavier Cadet, Miloud Bessafi, Frederic Cadet
Weak forms offer strong regularisations: how to make physics-informed (quantum) machine learning more robust
Annie E. Paine, Smit Chaudhary, Antonio A. Gentile
What quantum computer to buy?
Alex Krasnok
When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
Nima Leclerc, Chris Miller, Nicholas Brawand
When Noisy Quantum Order Finding Remains Recoverable for Shor's Algorithm
Qingxin Yang, Stefano Markidis
Where the Quantum Lives in D-Wave Hybrid Portfolio Optimization
Luis Lozano
Whole-organ and whole-body 3D atlases enable cellome-wide profiling.
Yoshida SY, Matsumoto K, Takagi S, Kinoshita FL, Yamashita K, Shigeta D, Yoshioka Y, Ushiku T, Morii E, Susaki EA, Ueda HR
Why does Re anti-segregate from the grain boundaries in Ni?
Christopher A. Schuh, Changle Li, Sourabh Bhagwan Kadambi, Boopathy Kombaiah, Nutth Tuchinda
Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
Natsuto Isogai, Hayata Yamasaki, Sho Sonoda, Mio Murao
Worst-case Harrow-Hassidim-Lloyd algorithm with average-case correct quantum Fourier transform
Changpeng Shao
WSBD: Freezing-Based Optimizer for Quantum Neural Networks
Christopher Kverne, Mayur Akewar, Yuqian Huo, Tirthak Patel, Janki Bhimani