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 1009-1020 of 4,297
Post-quantum cryptography for space systems: Algorithms, implementation, and design constraints—A systematic survey
Hyunmin Kim
Post-Quantum Link-based Ring Signature Model and Artificial Bee Colony (ABC) Algorithm for Effective Data Management in IoT-based Smart Cities
Shaker AA, Abduljabbar Rashid S, Al Mashhadany Y.
Post-quantum protected federated learning with explainable and adaptive intelligence for smart city transportation
Junaid, Hassan Malik, Fahad Algarni, Insaf Ullah
Post-Selection-Free Decoding of Measurement-Induced Area-Law Phases via Neural Networks
Hui Yu, Jiangping Hu, Shi-Xin Zhang
Power and Limitations of Distributed Quantum State Purification.
Zhao B, Chen YA, Zhao X, Zhu C, Chiribella G, Wang X.
PQC-Enhanced QKD Networks: A Layered Approach
Paul Spooren, Andreas Neuhold, Sebastian Ramacher, Thomas Hühn
PQS-BFL: A post-quantum secure blockchain-based federated learning framework
Daniel Commey, Garth V. Crosby
Practical discrete-modulated continuous-variable quantum key distribution with one-time shot-noise unit calibration
Anonymous
Practical Evaluation of Quantum Kernel Methods for Radar Micro-Doppler Classification on Noisy Intermediate-Scale Quantum (NISQ) Hardware
Vikas Agnihotri, Jasleen Kaur, Sarvagya Kaushik
Practical Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease
Azadeh Alavi, Hamidreza Khalili, Stanley H. Chan, Fatemeh Kouchmeshki, Ross Vlahos
Practical HPCQC Integration with QDMI: A Real-Hardware Case Study with IQM Systems
Lukas Burgholzer, Marcel Walter, Patrick Hopf, Álvaro Caride-Tabarés Sánchez, Teemu Mattsson, Bernd Hoffmann, Noora Färkkilä, Daniel Bulmash, Robert Wille, Eric Mansfield
Practical integration of machine learning into ab initio calculations and workflows: Accelerating the SCF cycle via density matrix predictions.
Stishenko P, Qian C, Westermayr J, Maurer RJ, Logsdail AJ