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 3661-3672 of 3,957
Simulation complexity of open quantum dynamics: Connection with tensor networks
I. A. Luchnikov, S. V. Vintskevich, H. Ouerdane, S. N. Filippov
Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results
Zhengbing Bian, Fabian Chudak, William Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti
Spin-qubit noise spectroscopy from randomized benchmarking by supervised learning
Chengxian Zhang, Xin Wang
The Expressive Power of Parameterized Quantum Circuits
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
THE IMPLEMENTATION OF QUANTUM LEARNING MODEL USING SOCIAL-SPIRITUAL VALUE THROUGH LESSON STUDY TO IMPROVE SOCIAL-SPIRITUAL ATTITUDES AND LEARNING RESULTS OF SCIENCE II BASIC CONCEPT
I Gede Astawan, Dewa Nyoman Sudana
Topographic Representation for Quantum Machine Learning
Bruce MacLennan
Training of Quantum Circuits on a Hybrid Quantum Computer
D. Zhu, N. M. Linke, M. Benedetti, K. A. Landsman, N. H. Nguyen, C. H. Alderete, A. Perdomo-Ortiz, N. Korda, A. Garfoot, C. Brecque, L. Egan, O. Perdomo, C. Monroe
Two new results about quantum exact learning
Srinivasan Arunachalam, Sourav Chakraborty, Troy Lee, Manaswi Paraashar, Ronald de Wolf
Using Reinforcement Learning to find Efficient Qubit Routing Policies for Deployment in Near-term Quantum Computers
Steven Herbert, Akash Sengupta
Validating quantum-classical programming models with tensor network simulations.
McCaskey A, Dumitrescu E, Chen M, Lyakh D, Humble T.
Variational Quantum State Diagonalization
Ryan LaRose, Arkin Tikku, Étude O'Neel-Judy, Lukasz Cincio, Patrick J. Coles
A deceptive step towards quantum speedup detection
Salvatore Mandrà, Helmut G. Katzgraber