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 433-444 of 521
Robust and optimal loading of general classical data into quantum computers
Xiao-Ming Zhang
Robust Quantum Reservoir Computing for Molecular Property Prediction
Daniel Beaulieu, Milan Kornjaca, Zoran Krunic, Michael Stivaktakis, Thomas Ehmer, Sheng-Tao Wang, Anh Pham
Robustly learning the Hamiltonian dynamics of a superconducting quantum processor.
Hangleiter D, Roth I, Fuksa J, Eisert J, Roushan P.
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
Nico Meyer, Julian Berberich, Christopher Mutschler, Daniel D. Scherer
Role of Quantum Computing in Solving Optimization Problems in Artificial Intelligence
Yuri Alexeev, Tanbir Hasan Taz, Mohammad Zobair Hossain
Routing and Scheduling Optimization for Urban Air Mobility Fleet Management using Quantum Annealing
Renichiro Haba, Takuya Mano, Ryosuke Ueda, Genichiro Ebe, Kohei Takeda, Masayoshi Terabe, Masayuki Ohzeki
Rozwój technologii kwantowej: wyzwania i aspekty regulacyjne. Przegląd wybranych zagadnień prawnych
Dorota Glaza-Jankowska
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search
Yize Sun, Jiarui Liu, Zixin Wu, Volker Tresp, Yunpu Ma
Scaling Quantum Computations via Gate Virtualization
Nathaniel Tornow, Emmanouil Giortamis, Pramod Bhatotia
Securing IoT Networks: A Post-Quantum Blockchain and Deep Learning Approach for Enhanced Cyber Defense
Samar Hussni Anbarkhan
Security Attacks Abusing Pulse-level Quantum Circuits
Chuanqi Xu, Jakub Szefer
Security Concerns in Quantum Machine Learning as a Service
Satwik Kundu, Swaroop Ghosh