Quantum Machine Learning
3,957 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 289-300 of 3,957
Deep Learning Approaches to Quantum Error Mitigation
Leonardo Placidi, Ifan Williams, Enrico Rinaldi, Daniel Mills, Cristina Cîrstoiu, Vanya Eccles, Ross Duncan
Deep learning parameter estimation and quantum control of single molecule
Juan M. Scarpetta, Omar Calderón-Losada, Morten Hjorth-Jensen, John H. Reina
Deep learning-based compensation of beam wander and polarization fluctuations for free-space quantum communication
Gibeen Gu, Hyeokin Kang, Taewon Kim, Jeonghun Seong, Young-Jin Kim
Deep Neural Network-Based prediction of electronic and optical properties in CdSe/CdS quantum wells
Adel Bouazra, Safa Maamria
Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
Emma Andrews, Sahan Sanjaya, Prabhat Mishra
Density × MA: A Thalamic Model for Raw Qualia as Dynamic Phase Flow
仁定 五十嵐
Derivative Informed Learning of Exchange-Correlation Functionals
Eike S. Eberhard, Luca A. Thiede, Abdul Aldossary, Andreas Burger, Nicholas Gao, Vignesh Bhethanabotla, Alán Aspuru-Guzik, Stephan Günnemann
Design and Modeling of Superconducting Quantum Amplifiers for Fundamental Physics Experiments
Tian Bai, Tom Godfrey, Parth Bhandari, Laith Meti, Gemma Chapman, John Gallop, Ling Hao, Edward Romans
Design and Noise-Aware Validation of a Testable Dual-Edge Triggered Reversible D Flip-Flop Using IBM Quantum Qiskit Simulation
Neeraj Kumar Misra, Nirupma Pathak, Seyed Sajad Ahmadpour, Murugaperumal Krishnamoorthy, Mojtaba Noorallahzadeh, Mrinal Goswami, Bandan Kumar Bhoi, Sambit Satpathy
Design of a 4-bit counter using reversible logic gates for enhanced security with reduced quantum cost
R. Murugasami, Kannan Nithin Kariyankattil Velukutty, M. Kalidasan, A. Senthilnathan
Design of a hybrid quantum machine learning architecture and analysis of quantum noise effects.
Bravo-Montes JA, Martín-Toledano A, Velasco-Gallego C, Botella G, Del Barrio AA, García-Herrero F.
Design of an approximate quantum encoding model based on quantum circuits
Jin Zheng, Qing Gao, Yi Du, Jinhu Lü, Maciej Ogorzałek