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 1-12 of 88

64-qubit quantum circuit simulation.

Chen ZY, Zhou Q, Xue C, Yang X, Guo GC, Guo GP.

2018 Europe PMC Sci Bull (Beijing)

A belief propagation algorithm based on domain decomposition

Brad Lackey

2018 arXiv arXiv preprint

A Comparison of the Bravyi-Kitaev and Jordan-Wigner Transformations for the Quantum Simulation of Quantum Chemistry.

Tranter A, Love PJ, Mintert F, Coveney PV.

2018 Europe PMC J Chem Theory Comput

A framework for algorithm deployment on cloud-based quantum computers

Sukin Sim, Yudong Cao, Jonathan Romero, Peter D. Johnson, Alan Aspuru-Guzik

2018 arXiv arXiv preprint

A machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models

M. Richter-Laskowska, H. Khan, N. Trivedi, M. M. Maśka

2018 arXiv arXiv preprint

A note on the quantum query complexity of permutation symmetric functions

André Chailloux

2018 arXiv arXiv preprint

A quantum homomorphic encryption scheme for polynomial-sized circuits

Li Yu

2018 arXiv arXiv preprint

A Tutorial on Formulating and Using QUBO Models

Fred Glover, Gary Kochenberger, Yu Du

2018 arXiv arXiv preprint

A two-qubit molecular architecture for electron-mediated nuclear quantum simulation.

Atzori M, Chiesa A, Morra E, Chiesa M, Sorace L, Carretta S, Sessoli R.

2018 Europe PMC Chem Sci

Adaptive Operator Quantum-Behaved Pigeon-Inspired Optimization Algorithm with Application to UAV Path Planning

Chunhe Hu, Yu Xia, Junguo Zhang

2018 Crossref Algorithms

Adaptive Quantum State Tomography with Neural Networks

Yihui Quek, Stanislav Fort, Hui Khoon Ng

2018 arXiv arXiv preprint

Advances in Quantum Reinforcement Learning

Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel

2018 arXiv arXiv preprint