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 3697-3708 of 3,957

Experimental realization of quantum cheque using a five-qubit quantum computer

Bikash K. Behera, Anindita Banerjee, Prasanta K. Panigrahi

2017 arXiv arXiv preprint

Faster Search by Lackadaisical Quantum Walk

Thomas G. Wong

2017 arXiv arXiv preprint

Fault-tolerant quantum error detection.

Linke NM, Gutierrez M, Landsman KA, Figgatt C, Debnath S, Brown KR, Monroe C.

2017 Europe PMC Sci Adv

Generation of Bose-Einstein Condensates' Ground State Through Machine Learning

Xiao Liang, Sheng Liu, Yan Li, Yong-Sheng Zhang

2017 arXiv arXiv preprint

Hardening Quantum Machine Learning Against Adversaries

Nathan Wiebe, Ram Shankar Siva Kumar

2017 arXiv arXiv preprint

Hardware for dynamic quantum computing.

Ryan CA, Johnson BR, Ristè D, Donovan B, Ohki TA.

2017 Europe PMC Rev Sci Instrum

Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

Song Cheng, Jing Chen, Lei Wang

2017 arXiv arXiv preprint

Learning the Einstein-Podolsky-Rosen correlations on a Restricted Boltzmann Machine

Steven Weinstein

2017 arXiv arXiv preprint

Learning to Detect Entanglement

Bingjie Wang

2017 arXiv arXiv preprint

Machine learning \& artificial intelligence in the quantum domain

Vedran Dunjko, Hans J. Briegel

2017 arXiv arXiv preprint

Machine learning for predictive estimation of qubit dynamics subject to dephasing

Riddhi Swaroop Gupta, Michael J. Biercuk

2017 arXiv arXiv preprint

Machine Learning Spatial Geometry from Entanglement Features

Yi-Zhuang You, Zhao Yang, Xiao-Liang Qi

2017 arXiv arXiv preprint
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