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 1645-1656 of 4,297
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
When the Learning With Errors Problem Meets the Coherent Ising Machine: A Penalty-Free Algorithm-Hardware Co-Design
Shuxian Jiang
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
WMS-Rot: From quantum-chemical predictions to rotational spectral assignment and refinement.
Lazzari F, Barone V
Working with measurement-based computations on qudits
Piotr Mitosek, Miriam Backens
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
Zeno-Enhanced Probabilistic Error Cancellation with Quantum Error Detection Codes
Yi Yuan, Yuanchen Zhao, Dong E. Liu