Quantum Machine Learning
3,957 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 97-108 of 3,957
Achieving Optimal-Distance Atom-Loss Correction via Pauli Envelope
Pengyu Liu, Shi Jie Samuel Tan, Eric Huang, Umut A. Acar, Hengyun Zhou, Chen Zhao
Acoustoelectric control of optoelectronic anisotropy for reconfigurable polarimetry.
Jiang C, Gu J, Lu H, Zhou J, Zhang E, Guo J, Zhang C, Xiu F
Adaptive directional gradients for parameterised quantum circuits
Brian Coyle, Snehal Raj, Virag Umathe, El Amine Cherrat, Elham Kashefi
Adaptive H-EFT-VA: A Provably Safe Trajectory Through the Trainability-Expressibility Landscape of Variational Quantum Algorithms
Eyad I. B. Hamid
Adaptive Negativity Estimation via Collective Measurements
Martin Zeman, Vojtěch Trávníček, Antonín Černoch, Jan Soubusta, Karel Lemr
Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures
Anabel Ovide, Andreu Angles-Castillo, Carmen G. Almudever
Adaptive quantum differential evolution with experience-guided learning for integrated production and collaborative mobile robot scheduling
Qingsong Fan, Liang Gao, Xinyu Li, Chunjiang Zhang, Qihao Liu
Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference
Arvin Keshvari, William Tuxbury, Zin Lin
Adaptive Shot Allocation for Recursive QAOA via Reinforcement Learning
Euimin Lee, Shiho Kim
Adaptive Tangent Homomorphic Encryption with Equivariant Quantum Neural Networks for Secure Data Transmission Routing in MANET
V. Ravi Kumar, Prasada Reddy. M. M., B. Nancharaiah
Addressing the minor-embedding problem in quantum annealing and evaluating state-of-the-art algorithm performance
Aitor Gómez-Tejedor, Eneko Osaba, Esther Villar-Rodriguez
Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
Gongyu Ni, Davide Ferrari, Lester Ho, Michele Amoretti