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 3829-3840 of 3,957

Quantum computing for pattern classification

Maria Schuld, Ilya Sinayskiy, Francesco Petruccione

2014 arXiv arXiv preprint

Quantum control and process tomography of a semiconductor quantum dot hybrid qubit.

Kim D, Shi Z, Simmons CB, Ward DR, Prance JR, Koh TS, Gamble JK, Savage DE, Lagally MG, Friesen M, Coppersmith SN, Eriksson MA.

2014 Europe PMC Nature

Quantum correction with three codes

Aziz Mouzali, Fatiha Merazka

2014 arXiv arXiv preprint

Quantum Deep Learning

Nathan Wiebe, Ashish Kapoor, Krysta M. Svore

2014 arXiv arXiv preprint

Quantum error correction assisted by two-way noisy communication.

Wang Z, Yu S, Fan H, Oh CH.

2014 Europe PMC Sci Rep

Quantum learning of classical stochastic processes: The Completely-Positive Realization Problem

Alex Monràs, Andreas Winter

2014 arXiv arXiv preprint

Quantum resources for purification and cooling: fundamental limits and opportunities.

Ticozzi F, Viola L.

2014 Europe PMC Sci Rep

Simulating a perceptron on a quantum computer

Maria Schuld, Ilya Sinayskiy, Francesco Petruccione

2014 arXiv arXiv preprint

Strongly Secure Quantum Ramp Secret Sharing Constructed from Algebraic Curves over Finite Fields

Ryutaroh Matsumoto

2014 arXiv arXiv preprint

Topos logic in measurement-based quantum computation

Leon Loveridge, Raouf Dridi, Robert Raussendorf

2014 arXiv arXiv preprint

Universal Single-Server Blind Quantum Computation for Classical Clients

Hai-Ru Xu, Bang-Hai Wang

2014 arXiv arXiv preprint

Why now is the right time to study quantum computing

Aram W. Harrow

2014 arXiv arXiv preprint
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