Quantum Machine Learning

416 papers for year 2023

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 361-372 of 416

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

Hao-kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang

2023 arXiv arXiv preprint

Statistical Complexity of Quantum Learning

Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone

2023 arXiv arXiv preprint

Stealthy SWAPs: Adversarial SWAP Injection in Multi-Tenant Quantum Computing

Suryansh Upadhyay, Swaroop Ghosh

2023 arXiv arXiv preprint

Study of quantum algorithms and their implementations

Giancarlo P. Gamberi, Calebe P. Bianchini

2023 Crossref 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)

SU(d)-Symmetric Random Unitaries: Quantum Scrambling, Error Correction, and Machine Learning

Zimu Li, Han Zheng, Yunfei Wang, Liang Jiang, Zi-Wen Liu, Junyu Liu

2023 arXiv arXiv preprint

Sub-universal variational circuits for combinatorial optimization problems

Gal Weitz, Lirandë Pira, Chris Ferrie, Joshua Combes

2023 arXiv arXiv preprint

Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks

Fangjun Hu, Gerasimos Angelatos, Saeed A. Khan, Marti Vives, Esin Türeci, Leon Bello, Graham E. Rowlands, Guilhem J. Ribeill, Hakan E. Türeci

2023 arXiv arXiv preprint

TECHNOLOGICAL INNOVATIONS IN EDUCATION: STUDYING THE INTERNET OF THINGS, BLOCKCHAIN AND QUANTUM COMPUTING FOR MODERN LEARNING

И.Р. Рустамбеков

2023 Crossref Человеческий капитал

Tensor Network Based Efficient Quantum Data Loading of Images

Jason Iaconis, Sonika Johri

2023 arXiv arXiv preprint

Tensor Networks for Explainable Machine Learning in Cybersecurity

Borja Aizpurua, Samuel Palmer, Roman Orus

2023 arXiv arXiv preprint

Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks

Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal, Bijaya K. Panigrahi

2023 arXiv arXiv preprint

Testing of Hybrid Quantum-Classical K-Means for Nonlinear Noise Mitigation

Ark Modi, Alonso Viladomat Jasso, Roberto Ferrara, Christian Deppe, Janis Noetzel, Fred Fung, Maximilian Schaedler

2023 arXiv arXiv preprint