Quantum Machine Learning

4,130 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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Optical modular arithmetic

Dmitri S. Pavlichin, Hideo Mabuchi

2014 arXiv arXiv preprint

Optimal ancilla-free Clifford+V approximation of z-rotations

Neil J. Ross

2014 arXiv arXiv preprint

Practical sharing of quantum secrets over untrusted channels

Anne Marin, Damian Markham

2014 arXiv arXiv preprint

Quantum algorithms for topological and geometric analysis of big data

Seth Lloyd, Silvano Garnerone, Paolo Zanardi

2014 arXiv arXiv preprint

Quantum arithmetic with the Quantum Fourier Transform

Lidia Ruiz-Perez, Juan Carlos Garcia-Escartin

2014 arXiv arXiv preprint

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

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