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 277-288 of 4,297
Classification of security challenges and mitigation approaches in the quantum software engineering
Badhon Rahman, Majid Haghparast, Tommi Mikkonen
Clifft: Fast Exact Simulation of Near-Clifford Quantum Circuits
Bradley A. Chase, Farrokh Labib
Closed-Loop CBRAM Crossbar System Toward Hardware Acceleration of Quantum Algorithms
Iosif-Angelos Fyrigos, Theodoros Panagiotis Chatzinikolaou, Konstantinos Rallis, Vasileios Ntinas, Panagiotis Bousoulas, Dimitris Tsoukalas, Panagiotis Dimitrakis, Yue Zhang, Georgios Ch. Sirakoulis
Closing the Loop: Resource-aware Hybrid NAS Guided by Analytical and Hardware-Calibrated Quantum Cost Modeling
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI
Yi Zhou
Codebase release 1.0 for QDFlow
Donovan Buterakos, Sandesh S. Kalantre, Joshua Ziegler, Jacob M. Taylor, Sanghyeok Park
Coefficient-Decoupled Matrix Product Operators as an Interface to Linear-Combination-of-Unitaries Circuits
Younes Javanmard
Coherence time in biological oscillator assemblies bounds the rate of state registration.
Todd I
Coined Quantum Walks on Complex Networks for Quantum Computers
Sato R.
Combating Antiviral Drug Resistance: A Multipronged Strategy.
Zhou J, Nandi A, Xu Y, An J, Warshel A, Huang Z
Comment on 'Supervised quantum machine learning models are kernel methods'
Rajiv Krishnakumar
Comment on "Scalable Quantum Machine Learning: Trainability, Expressivity and Efficiency": Polynomial Evaluation of the Triplet-Block Readout
Erfan Amidi