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.
Open source software in quantum computing
Mark Fingerhuth, Tomáš Babej, Peter Wittek
Peak Quasar Correlation Across the Sky, and in an Earth-Wide Bell Test
Eric Steinbring
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
Physical extrapolation of quantum observables by generalization with Gaussian Processes
Rodrigo A. Vargas-Hernández, Roman V. Krems
Practical and unconditionally secure spacetime-constrained oblivious transfer
Damián Pitalúa-García, Iordanis Kerenidis
Projective quantum Monte Carlo simulations guided by unrestricted neural network states
E. M. Inack, G. E. Santoro, L. Dell'Anna, S. Pilati
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, Anupam Prakash
QDB: From Quantum Algorithms Towards Correct Quantum Programs
Yipeng Huang, Margaret Martonosi
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
Quantum Advantage for the LOCAL Model in Distributed Computing
François Le Gall, Harumichi Nishimura, Ansis Rosmanis
Quantum algorithm and quantum circuit for A-Optimal Projection: dimensionality reduction
Bojia Duan, Jiabin Yuan, Juan Xu, Dan Li