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
Symbolic Verification of Quantum Circuits
Mingsheng Ying, Zhengfeng Ji
Systematic comparison of deep belief network training using quantum annealing vs. classical techniques
Joshua Job, Steve Adachi
Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report
Mariia Mykhailova, Krysta M. Svore
The e-learning future in Algeria
Abdelkader Abbasi, Mustafa Foudi
The effect of data encoding on the expressive power of variational quantum machine learning models
Maria Schuld, Ryan Sweke, Johannes Jakob Meyer
The Effectiveness Of Quantum Learning To Increase Motivation And Mastery Of Arabic Vocabulary Of Learners
Munawarah Munawarah, Haniah Haniah, Kamaluddin Abunawas
The Foundations of Quantum Mechanics in Post-War Italy's Cultural Context
Flavio Del Santo
The power of quantum neural networks
Amira Abbas, David Sutter, Christa Zoufal, Aurélien Lucchi, Alessio Figalli, Stefan Woerner
The Quantum Wasserstein Distance of Order 1
Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd
The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams
Renju S. Mathew, Roshan O'Donnell, Danielle Pizzey, Ifan G. Hughes
Tight adaptive reprogramming in the QROM
Alex B. Grilo, Kathrin Hövelmanns, Andreas Hülsing, Christian Majenz