Quantum Machine Learning

88 papers for year 2018

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 49-60 of 88

One-out-of-two Quantum Oblivious Transfer based on Nonorthogonal States.

Chou YH, Zeng GJ, Kuo SY.

2018 Europe PMC Sci Rep

Open source software in quantum computing

Mark Fingerhuth, Tomáš Babej, Peter Wittek

2018 arXiv arXiv preprint

Peak Quasar Correlation Across the Sky, and in an Earth-Wide Bell Test

Eric Steinbring

2018 arXiv arXiv preprint

PennyLane: Automatic differentiation of hybrid quantum-classical computations

Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, Shahnawaz Ahmed, Vishnu Ajith, M. Sohaib Alam, Guillermo Alonso-Linaje, B. AkashNarayanan, Ali Asadi, Juan Miguel Arrazola, Utkarsh Azad, Sam Banning, Carsten Blank, Thomas R Bromley, Benjamin A. Cordier, Jack Ceroni, Alain Delgado, Olivia Di Matteo, Amintor Dusko, Tanya Garg, Diego Guala, Anthony Hayes, Ryan Hill, Aroosa Ijaz, Theodor Isacsson, David Ittah, Soran Jahangiri, Prateek Jain, Edward Jiang, Ankit Khandelwal, Korbinian Kottmann, Robert A. Lang, Christina Lee, Thomas Loke, Angus Lowe, Keri McKiernan, Johannes Jakob Meyer, J. A. Montañez-Barrera, Romain Moyard, Zeyue Niu, Lee James O'Riordan, Steven Oud, Ashish Panigrahi, Chae-Yeun Park, Daniel Polatajko, Nicolás Quesada, Chase Roberts, Nahum Sá, Isidor Schoch, Borun Shi, Shuli Shu, Sukin Sim, Arshpreet Singh, Ingrid Strandberg, Jay Soni, Antal Száva, Slimane Thabet, Rodrigo A. Vargas-Hernández, Trevor Vincent, Nicola Vitucci, Maurice Weber, David Wierichs, Roeland Wiersema, Moritz Willmann, Vincent Wong, Shaoming Zhang, Nathan Killoran

2018 arXiv arXiv preprint

Physical extrapolation of quantum observables by generalization with Gaussian Processes

Rodrigo A. Vargas-Hernández, Roman V. Krems

2018 arXiv arXiv preprint

Practical and unconditionally secure spacetime-constrained oblivious transfer

Damián Pitalúa-García, Iordanis Kerenidis

2018 arXiv arXiv preprint

Projective quantum Monte Carlo simulations guided by unrestricted neural network states

E. M. Inack, G. E. Santoro, L. Dell'Anna, S. Pilati

2018 Crossref Physical Review B

q-means: A quantum algorithm for unsupervised machine learning

Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, Anupam Prakash

2018 arXiv arXiv preprint

QDB: From Quantum Algorithms Towards Correct Quantum Programs

Yipeng Huang, Margaret Martonosi

2018 arXiv arXiv preprint

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Justyna P. Zwolak, Sandesh S. Kalantre, Xingyao Wu, Stephen Ragole, Jacob M. Taylor

2018 arXiv arXiv preprint

Quantum Advantage for the LOCAL Model in Distributed Computing

François Le Gall, Harumichi Nishimura, Ansis Rosmanis

2018 arXiv arXiv preprint

Quantum algorithm and quantum circuit for A-Optimal Projection: dimensionality reduction

Bojia Duan, Jiabin Yuan, Juan Xu, Dan Li

2018 arXiv arXiv preprint