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 193-204 of 237

Sample optimal Quantum identity testing via Pauli Measurements

Nengkun Yu

2020 arXiv arXiv preprint

Scientific intuition inspired by machine learning generated hypotheses

Pascal Friederich, Mario Krenn, Isaac Tamblyn, Alan Aspuru-Guzik

2020 arXiv arXiv preprint

Scrambling Ability of Quantum Neural Networks Architectures

Yadong Wu, Pengfei Zhang, Hui Zhai

2020 arXiv arXiv preprint

Sensitive magnetometry in challenging environments

Kai-Mei C. Fu, Geoffrey Z. Iwata, Arne Wickenbrock, Dmitry Budker

2020 arXiv arXiv preprint

Simultaneous Quantum Machine Learning Training and Architecture Discovery

Dominic Pasquali

2020 arXiv arXiv preprint

Single-Photon Image Classification

Thomas Fischbacher, Luciano Sbaiz

2020 arXiv arXiv preprint

Single-Pixel Pattern Recognition with Coherent Nonlinear Optics

Ting Bu, Santosh Kumar, He Zhang, Irwin Huang, Yuping Huang

2020 arXiv arXiv preprint

Software Pipelining for Quantum Loop Programs

Jingzhe Guo, Mingsheng Ying

2020 arXiv arXiv preprint

Solving Quasiparticle Band Spectra of Real Solids using Neural-Network Quantum States

Nobuyuki Yoshioka, Wataru Mizukami, Franco Nori

2020 arXiv arXiv preprint

Spin-photon module for scalable network architecture in quantum dots.

Zhu XY, Tu T, Guo AL, Zhou ZQ, Guo GC, Li CF.

2020 Europe PMC Sci Rep

Sublinear classical and quantum algorithms for general matrix games

Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu

2020 arXiv arXiv preprint

Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation

Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik

2020 arXiv arXiv preprint