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 2581-2592 of 4,297
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
Security of Key-Alternating Ciphers: Quantum Lower Bounds and Quantum Walk Attacks
Chen Bai, Mehdi Esmaili, Atul Mantri
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers
Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien
Service Quality Analysis of Business Licensing Information System (BLIS) at the Provincial Industry Department Using Decision Tree
Indah Pratiwi Putri, Dona Marcelina, Evi Yulianti, Arum Adisha Putra Anandez
ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements
Jian Yao, Yi-Zhuang You