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
Preparation of quantum superposition using partial negation
Sara Anwer, Ahmed Younes, Islam Elkabani, Ashraf Elsayed
Preparing students to be leaders of the quantum information revolution
Chandralekha Singh, Abraham Asfaw, Jeremy Levy
Preparing thermal states on noiseless and noisy programmable quantum processors
Oles Shtanko, Ramis Movassagh
Prime number factorization using a spinor Bose–Einstein condensate-inspired topological quantum computer
Emil Génetay Johansen, Tapio Simula
Provable Adversarial Robustness in the Quantum Model
Khashayar Barooti, Grzegorz Głuch, Ruediger Urbanke
Q-means using variational quantum feature embedding
Arvind S Menon, Nikaash Puri
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
QDataset: Quantum Datasets for Machine Learning
Elija Perrier, Akram Youssry, Chris Ferrie
QKSA: Quantum Knowledge Seeking Agent -- resource-optimized reinforcement learning using quantum process tomography
Aritra Sarkar, Zaid Al-Ars, Harshitta Gandhi, Koen Bertels
Qsun: an open-source platform towards practical quantum machine learning applications
Chuong Nguyen Quoc, Le Bin Ho, Lan Nguyen Tran, Hung Q. Nguyen
Quadratic Quantum Speedup for Perceptron Training
Pengcheng Liao, Barry C. Sanders, Tim Byrnes