308 citations · 788 across the 12 of their papers we have counts for
12 papers
Density Matrix Renormalization Group with Tensor Processing Units
Martin Ganahl, Jackson Beall, Markus Hauru +4
Google's Tensor Processing Units (TPUs) are integrated circuits specifically built to accelerate and scale up machine learning workloads. They can perform fast distributed matrix m…
Dynamics of Transmon Ionization
Ross Shillito, Alexandru Petrescu, Joachim Cohen +6
Qubit measurement and control in circuit QED rely on microwave drives, with higher drive amplitudes ideally leading to faster processes. However, degradation in qubit coherence tim…
Large scale quantum chemistry with Tensor Processing Units
Ryan Pederson, John Kozlowski, Ruyi Song +8
We demonstrate the use of Google's cloud-based Tensor Processing Units (TPUs) to accelerate and scale up conventional (cubic-scaling) density functional theory (DFT) calculations.…
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…