Quantum Machine Learning
521 papers for year 2024
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 85-96 of 521
Comparing Algorithms for Loading Classical Datasets into Quantum Memory
Andriy Miranskyy, Mushahid Khan, Udson Mendes
Comparing Quantum Encoding Techniques
Nidhi Munikote
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li, Tansu Alpcan, Chandra Thapa, Udaya Parampalli
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
Computational Complexity of Learning Efficiently Generatable Pure States
Taiga Hiroka, Min-Hsiu Hsieh
Conditional Diffusion-based Parameter Generation for Quantum Approximate Optimization Algorithm
Fanxu Meng, Xiangzhen Zhou, Pengcheng Zhu, Yu Luo
CORPUS-BASED STUDY ON THE LEXICAL BINDLES IN WRITTEN ENGLISH OF CHINESE ADVANCED ENGLISH LEARNERS
FENG SHI, TIRZAH ZUBEIDAH ZACHARIAH, NORAZEAN SHAARI
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
Alberto Marchisio, Emman Sychiuco, Muhammad Kashif, Muhammad Shafique
CYBERLOAFING IN THE CLASSROOM: UNVEILING ITS IMPACT ON TEACHERS’ WORK PERFORMANCE IN MALACCA
AZ ATHIRAH ZUBAIRI, AZWIDAH FARIHA RAMLI, RASHIDIN IDRIS
Demonstrating Quantum Homomorphic Encryption Through Simulation
Sohrab Ganjian, Connor Paddock, Anne Broadbent
Dependable Classical-Quantum Computer Systems Engineering
Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K. Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S. Humble
Design and architecture of the IBM Quantum Engine Compiler
Michael B. Healy, Reza Jokar, Soolu Thomas, Vincent R. Pascuzzi, Kit Barton, Thomas A. Alexander, Roy Elkabetz, Brian C. Donovan, Hiroshi Horii, Marius Hillenbrand