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 997-1008 of 4,297
Physics-Informed Variational Quantum Classifier for Phase Detection in Strongly Correlated Matter
Hugo Catalá, Ezequiel Valero, Germán Rodrigo
Pitfalls when tackling the exponential concentration of parameterized quantum models
Reyhaneh Aghaei Saem, Behrang Tafreshi, Zo\"e Holmes, Supanut Thanasilp
Pixel-Translation-Equivariant Quantum Convolutional Neural Networks via Fourier Multiplexers
Dmitry Chirkov, Igor Lobanov
Playing Dice with the Universe: Programming Quantum Computers to Play Traditional Games
Tristan Zaborniak, Vikram Khipple Mulligan
Point-of-care fentanyl detection: Combining smartphone imaging and chemometrics for reliable quantitative analysis.
Sefid-Sefidehkhan Y, Hasanzadeh M, Jouyban A, Mohammadzadeh S, Hosseini M, Jouyban-Gharamaleki V, Rahimpour E
Polyatomic Molecules Get Two Steps Closer to Quantum Horizon
Christopher J. Ho, Chi Zhang
Polynomial Commitment Schemes from Classical Constructions to Post-Quantum Directions
Maksim Iavich, Tamari Kuchukhidze, Razvan Bocu
Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications
Sajjan M, Singh V, Kais S.
Pore pressure prediction method based on quantum support vector regression
Xingye Liu, Bing Liu, Fen Lyu, Chao Li, Shaohuan Zu
Post-Cut Metadata Inference Attacks on Quantum Circuit Cutting Pipelines
Samuel Punch, Krishnendu Guha, Utz Roedig
Post-quantum cognitive zero trust architecture for healthcare IoT devices.
Hashim Hussain, Shailendra Mishra, Reem Alshenaifi
Post-quantum cryptographic authentication protocol for industrial IoT using lattice-based cryptography.
Shahid AB, Mansoor K, Bangash YA, Iqbal W, Mussiraliyeva S