Quantum Machine Learning
486 papers for year 2025
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 217-228 of 486
Irrelevant carrots and non-existent sticks: trust, governance, and security in the transition to quantum-safe systems
Ailsa Robertson, Siân Brooke, Sebastian De Haro, Christian Schaffner
KARIPAP: Quantum-Inspired Tensor Network Compression of Large Language Models Using Infinite Projected Entangled Pair States and Tensor Renormalization Group
Azree Nazri
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
Navneet Singh, Shiva Raj Pokhrel
Learning Reduced Representations for Quantum Classifiers
Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
Learning to decode logical circuits.
Zhou Y, Wan C, Xu Y, Zhou JP, Weinberger KQ, Kim EA.
LiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural Networks
Haijian Shao, Bowen Yang, Wei Liu, Xing Deng, Yingtao Jiang
Limitations of Quantum Advantage in Unsupervised Machine Learning
Apoorva D. Patel
Linguistic Predictability and Search Complexity: How Linguistic Redundancy Constraints the Landscape of Classical and Quantum Search
Alessio Di Santo, Gabriella Lanziani
Local clustering decoder as a fast and adaptive hardware decoder for the surface code.
Ziad AB, Zalawadiya A, Topal C, Camps J, Gehér GP, Stafford MP, Turner ML.
Long-term analysis of efficient-BB84 4-node network with optical switches in metropolitan environment
Alberto De Toni, Edoardo Bortolozzo, Alessandro Emanuele, Marco Venturini, Luca Calderaro, Marco Avesani, Giuseppe Vallone, Paolo Villoresi
Low-Latency FPGA Control System for Real-Time Neural Network Processing in CCD-Based Trapped-Ion Qubit Measurement
Binglei Lou, Gautham Duddi Krishnaswaroop, Filip Wojcicki, Ruilin Wu, Richard Rademacher, Zhiqiang Que, Wayne Luk, Philip H. W. Leong
LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
M. A. Farooq, G. Di Guglielmo, A. Rajagopala, N. Tran, V. A. Chhabria, A. Arora