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 3349-3360 of 3,957
Mathematical comparison of classical and quantum mechanisms in optimization under local differential privacy
Yuuya Yoshida
Meta Variational Monte Carlo
Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan Veerapaneni
Modern perspectives of quantum security development as a diffusion qualitative digital model in international knowledge information
Ю. П. Лісовська
Nearest Centroid Classification on a Trapped Ion Quantum Computer
Sonika Johri, Shantanu Debnath, Avinash Mocherla, Alexandros Singh, Anupam Prakash, Jungsang Kim, Iordanis Kerenidis
Neural network quantum state tomography in a two-qubit experiment
Marcel Neugebauer, Laurin Fischer, Alexander Jäger, Stefanie Czischek, Selim Jochim, Matthias Weidemüller, Martin Gärttner
Oblivious Transfer is in MiniQCrypt
Alex B. Grilo, Huijia Lin, Fang Song, Vinod Vaikuntanathan
On Interfacing the Brain with Quantum Computers: An Approach to Listen to the Logic of the Mind
Eduardo Reck Miranda
On the experimental feasibility of quantum state reconstruction via machine learning
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser
On The Round Complexity of Secure Quantum Computation
James Bartusek, Andrea Coladangelo, Dakshita Khurana, Fermi Ma
One-step direct measurement of the entangled W states with cross-Kerr nonlinearity
Si-Le Lin, Chun-Lin Zhang, Si-Yang Hao, Pei-Yao Hong
One-Way Functions Imply Secure Computation in a Quantum World
James Bartusek, Andrea Coladangelo, Dakshita Khurana, Fermi Ma
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao