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 133-144 of 3,957
An LLM System for Autonomous Variational Quantum Circuit Design
Kenya Sakka, Wataru Mizukami, Kosuke Mitarai
An On-Demand Neuromorphic Vision System Enabled by a Multi-Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level.
Jiang B, Xu J, Ran L, Feng X, Harrabi K, Li Y, Lin L, Zhou F
An Optimal Hybrid Quantum-Classical Representation for Robust Photonic Image Processing on NISQ Devices
Tarek N.
An ultra-low-consumption dilution strategy for high-performance inverted perovskite solar cells.
Zhou Y, Pang J, Zhang B, Li Y, Feng Y, Zhang B, Wang Q, Liu R, Shen Z, Li F
Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features.
Hasan AM, Alfalluji WL, Hamdawi MA, Jalab HA, Ibrahim RW, Meziane F
Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
A. Bano, L. Liebovitch
Antenna Array Beamforming Based on a Hybrid Quantum Optimization Framework
Shuai Zeng
Applicability and Limitations of Quantum Circuit Cutting in Classical State-Vector Simulation
Mitsuhiro Matsumoto, Shinichiro Sanji, Takahiko Satoh
Application and optimization of quantum-powered generative models for job shop scheduling in semiconductor manufacturing
Truong Ngoc Cuong, Sam-Sang You, Hwan-Seong Kim, Le Ngoc Bao Long, Duy Anh Nguyen, Nguyen Duy Tan
Application of a Quantum Amplitude Redistribution Algorithm to the Data Filtering Problem
Karina Zakharova, Artem Chernikov, Sergey Sysoev
Applications of classical and quantum machine learning in manufacturing: predictive maintenance, scheduling and tribology
Abdullah Jawad, Ethan Stefan-Henningsen, Amirkianoosh Kiani
Applications, Progress, and Challenges of Surfactants in Chemical Mechanical Polishing for Copper Interconnects.
Wang M, Niu X, Zhou J, Hu B, Li J, Wu Z, Liu Z, Ma Q, Song S, Jia Y