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 157-168 of 4,297
An efficient optimization-based incremental quantum convolutional network for milk adulteration detection
Vrishali M. Patil, Savita R. Bhosale
An Enhanced Quantum Image Representation for Improved Intensity Preservation and Fidelity
Nikam V, Sane S.
An explainable hybrid of classical and quantum support vector machine models for maternal mental health risk prediction using multicountry data
Shallon Ahimbisibwe, Emmanuel Ahishakiye, Samuel Maling, Simon Kawuma, Richard Ntwari, Boaz Twinamasiko, Fred Kaggwa
An Exponential Sample-Complexity Advantage for Coherent Quantum Inference
Zhaoyi Li, Elias Theil, Aram W. Harrow, Isaac Chuang
An Ideal Random Number Generator Based on Quantum Fluctuations and Rotating Wheel for Secure Image Encryption
Subhadip Rana, Sanku Paul, Mrinal Kanti Mandal
An improved synthesis, X-ray study, and quantum chemistry calculations of novel fused mesoionic heterocycle: substituted 5-thioxo-5,6-dihydro-[1,2,4]triazolo[1,5-c]quinazolin-1-ium-2-thiolates
Sergiy M. Kovalenko, Oleksandr G. Drushlyak, Mariia Kyrpa, Maryna S. Kovalenko, Illia O. Mariutsa, Volodymyr V. Ivanov, Svitlana V. Shishkina, Christian Dank
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