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q-2018-08-06-79.pdf

Quantum optimizers 6.2 How quantum testbeds might help 6.3 Quantum annealing 6.4 Noise-resilient quantum circuits 6.5 Quantum deep learning 6.6 Quantum matrix inversion 6.7 Quantum recommendation systems 6.8 Quantum semidefinite…

q-2020-01-13-223.pdf

…[q u an t- p h ] 7 J an 2 2 https://quantum-journal.org/?s=From%20estimation%20of%20quantum%20probabilities%20to%20simulation%20of%20quantum%20circuits&reason=title-click https://quantum-journal.org/?s=From%20estimation%20of%20quantum%20probabilities%20to%20simulation%20of%20quantum%20circuits&reason=title-click https://orcid.org/0000-0003-3782-7602 https://orcid.org/0000-0003-4387-670X mailto:stephen.bartlett@sydney.edu.au work on using small quantum systems to simulate larger quantum systems [31] as…

q-2019-10-07-191.pdf

quantum system open. Therefore, simulating the evolution of open quantum systems can be useful for studying realistic quantum systems. In this work, we complete the VQS theory by studying the

q-2019-01-25-116.pdf

…present in the system. As tensor networks [16], matrix product states were originally used for simulating one-dimensional quan- tum many-body systems [17, 18], but have since been adapted for simulating