Quantum Machine Learning

256 papers for year 2021

Showing 157-168 of 256

Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer

Boram Yoon, Chia Cheng Chang, Garrett T. Kenyon, Nga T. T. Nguyen, Ermal Rrapaj

2021 arXiv arXiv preprint

Preparation of quantum superposition using partial negation

Sara Anwer, Ahmed Younes, Islam Elkabani, Ashraf Elsayed

2021 arXiv arXiv preprint

Preparing students to be leaders of the quantum information revolution

Chandralekha Singh, Abraham Asfaw, Jeremy Levy

2021 arXiv arXiv preprint

Preparing thermal states on noiseless and noisy programmable quantum processors

Oles Shtanko, Ramis Movassagh

2021 arXiv arXiv preprint

Prime number factorization using a spinor Bose–Einstein condensate-inspired topological quantum computer

Emil Génetay Johansen, Tapio Simula

2021 Crossref Quantum Information Processing

Provable Adversarial Robustness in the Quantum Model

Khashayar Barooti, Grzegorz Głuch, Ruediger Urbanke

2021 arXiv arXiv preprint

Q-means using variational quantum feature embedding

Arvind S Menon, Nikaash Puri

2021 arXiv arXiv preprint

QBoost for regression problems: solving partial differential equations

Caio B. D. Góes, Thiago O. Maciel, Giovani G. Pollachini, Rafael Cuenca, Juan P. L. C. Salazar, Eduardo I. Duzzioni

2021 arXiv arXiv preprint

QDataset: Quantum Datasets for Machine Learning

Elija Perrier, Akram Youssry, Chris Ferrie

2021 arXiv arXiv preprint

QKSA: Quantum Knowledge Seeking Agent -- resource-optimized reinforcement learning using quantum process tomography

Aritra Sarkar, Zaid Al-Ars, Harshitta Gandhi, Koen Bertels

2021 arXiv arXiv preprint

Qsun: an open-source platform towards practical quantum machine learning applications

Chuong Nguyen Quoc, Le Bin Ho, Lan Nguyen Tran, Hung Q. Nguyen

2021 arXiv arXiv preprint

Quadratic Quantum Speedup for Perceptron Training

Pengcheng Liao, Barry C. Sanders, Tim Byrnes

2021 arXiv arXiv preprint