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 205-216 of 237

Supervised Learning with Projected Entangled Pair States

Song Cheng, Lei Wang, Pan Zhang

2020 arXiv arXiv preprint

Symbolic Verification of Quantum Circuits

Mingsheng Ying, Zhengfeng Ji

2020 arXiv arXiv preprint

Systematic comparison of deep belief network training using quantum annealing vs. classical techniques

Joshua Job, Steve Adachi

2020 arXiv arXiv preprint

Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report

Mariia Mykhailova, Krysta M. Svore

2020 arXiv arXiv preprint

The e-learning future in Algeria

Abdelkader Abbasi, Mustafa Foudi

2020 DOAJ Journal of Distance Learning and Open Learning

The effect of data encoding on the expressive power of variational quantum machine learning models

Maria Schuld, Ryan Sweke, Johannes Jakob Meyer

2020 arXiv arXiv preprint

The Effectiveness Of Quantum Learning To Increase Motivation And Mastery Of Arabic Vocabulary Of Learners

Munawarah Munawarah, Haniah Haniah, Kamaluddin Abunawas

2020 Crossref An Nabighoh: Jurnal Pendidikan dan Pembelajaran Bahasa Arab

The Foundations of Quantum Mechanics in Post-War Italy's Cultural Context

Flavio Del Santo

2020 arXiv arXiv preprint

The power of quantum neural networks

Amira Abbas, David Sutter, Christa Zoufal, Aurélien Lucchi, Alessio Figalli, Stefan Woerner

2020 arXiv arXiv preprint

The Quantum Wasserstein Distance of Order 1

Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd

2020 arXiv arXiv preprint

The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams

Renju S. Mathew, Roshan O'Donnell, Danielle Pizzey, Ifan G. Hughes

2020 arXiv arXiv preprint

Tight adaptive reprogramming in the QROM

Alex B. Grilo, Kathrin Hövelmanns, Andreas Hülsing, Christian Majenz

2020 arXiv arXiv preprint