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9 papers · 1 filter
Large Scale Distributed Linear Algebra With Tensor Processing Units
Adam G. M. Lewis, Jackson Beall, Martin Ganahl +3
We have repurposed Google Tensor Processing Units (TPUs), application-specific chips developed for machine learning, into large-scale dense linear algebra supercomputers. The TPUs'…
Solving systems of Boolean multivariate equations with quantum annealing
Sergi Ramos-Calderer, Carlos Bravo-Prieto, Ruge Lin +4
Polynomial systems over the binary field have important applications, especially in symmetric and asymmetric cryptanalysis, multivariate-based post-quantum cryptography, coding the…
Simulation of quantum many-body dynamics with Tensor Processing Units: Floquet prethermalization
Alan Morningstar, Markus Hauru, Jackson Beall +4
Tensor Processing Units (TPUs) are specialized hardware accelerators developed by Google to support large-scale machine-learning tasks, but they can also be leveraged to accelerate…
Large scale multi-node simulations of gauge theory quantum circuits using Google Cloud Platform
Erik Gustafson, Burt Holzman, James Kowalkowski +12
Simulating quantum field theories on a quantum computer is one of the most exciting fundamental physics applications of quantum information science. Dynamical time evolution of qua…
Multi-boundary generalization of thermofield double states and their realization in critical quantum spin chains
Yijian Zou, Guifre Vidal
We propose a multi-boundary generalization of thermofield double states (TFD) of a two-dimensional conformal field theory (CFT) and show, through a conformal map to the complex pla…
Entropy as a Topological Operad Derivation
Tai-Danae Bradley
We share a small connection between information theory, algebra, and topology - namely, a correspondence between Shannon entropy and derivations of the operad of topological simpli…