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.

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Showing 3481-3492 of 3,957

When Machine Learning Meets Quantum Computers: A Case Study

Weiwen Jiang, Jinjun Xiong, Yiyu Shi

2020 arXiv arXiv preprint

Wishart and random density matrices: Analytical results for the mean-square Hilbert-Schmidt distance

Santosh Kumar

2020 arXiv arXiv preprint

28nm Fully-Depleted SOI Technology: Cryogenic Control Electronics for Quantum Computing

H. Bohuslavskyi, S. Barraud, M. Cassé, V. Barral, B. Bertrand, L. Hutin, F. Arnaud, P. Galy, M. Sanquer, S. De Franceschi, M. Vinet

2019 arXiv arXiv preprint

A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics

Jordan Burns, David Maughan, Yih Sung

2019 arXiv arXiv preprint

A Hands-On Quantum Cryptography Workshop For Pre-University Students

Adrian Nugraha Utama, Jianwei Lee, Mathias Alexander Seidler

2019 arXiv arXiv preprint

A local model of quantum Turing machines

Dong-Sheng Wang

2019 arXiv arXiv preprint

A Note on Quantum Markov Models

Christino Tamon, Weichen Xie

2019 arXiv arXiv preprint

A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers

Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin

2019 arXiv arXiv preprint

A Predictive Tool for Electrophilic Aromatic Substitutions Using Machine Learning.

Tomberg A, Johansson MJ, Norrby PO

2019 PubMed The Journal of organic chemistry

A quantum active learning algorithm for sampling against adversarial attacks

P. A. M. Casares, M. A. Martin-Delgado

2019 arXiv arXiv preprint

Adversarial Machine Learning Phases of Matter

Si Jiang, Sirui Lu, Dong-Ling Deng

2019 arXiv arXiv preprint

An Assessment of the Compatibility of Al-Mustafa University of Qom with the Components of Learning, Agile and Quantum Organizations from the Views of the Employees

hamid rahimi, mojtaba mohammad alizadeh

2019 DOAJ مدیریت راهبردی دانش سازمانی
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