262 citations · 1.3k across the 31 of their papers we have counts for
4 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'…
Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution
Markus Hauru, Alan Morningstar, Jackson Beall +3
Tensor Processing Units (TPUs) were developed by Google exclusively to support large-scale machine learning tasks. TPUs can, however, also be used to accelerate and scale up other…
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…