Quantum Machine Learning

237 papers for year 2020

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 73-84 of 237

General error mitigation for quantum circuits

Manpreet Singh Jattana, Fengping Jin, Hans De Raedt, Kristel Michielsen

2020 arXiv arXiv preprint

Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer

Manuel S. Rudolph, Ntwali Bashige Toussaint, Amara Katabarwa, Sonika Johri, Borja Peropadre, Alejandro Perdomo-Ortiz

2020 arXiv arXiv preprint

Generative machine learning with tensor networks: benchmarks on near-term quantum computers

Michael L. Wall, Matthew R. Abernathy, Gregory Quiroz

2020 arXiv arXiv preprint

Global Optimum Search in Quantum Deep Learning

Lanston Hau Man Chu, Tejas Bhojraj, Rui Huang

2020 arXiv arXiv preprint

Graph Coloring with Quantum Annealing

Julia Kwok, Kristen Pudenz

2020 arXiv arXiv preprint

High-speed computational ghost imaging with compressed sensing based on a convolutional neural network

Hao Zhang, Deyang Duan

2020 arXiv arXiv preprint

High-Throughput Calculations for High-Entropy Alloys: A Brief Review

Ruixuan Li, Lu Xie, William Yi Wang, Peter K. Liaw, Yong Zhang, Yong Zhang

2020 DOAJ Frontiers in Materials

Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations

Daniel O'Malley, John K. Golden

2020 arXiv arXiv preprint

How a Quantum Computer Could Solve a Microkinetic Model

Eric A. Walker, Shreyas Addamane Pallathadka

2020 Crossref The Journal of Physical Chemistry Letters

How to enhance quantum generative adversarial learning of noisy information

Paolo Braccia, Filippo Caruso, Leonardo Banchi

2020 arXiv arXiv preprint

Hybrid quantum-classical classifier based on tensor network and variational quantum circuit

Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao

2020 arXiv arXiv preprint

Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map

Ilia D. Lazarev, Marek Narozniak, Tim Byrnes, Alexey N. Pyrkov

2020 arXiv arXiv preprint