96 citations
- Google (United States)US6 papers
- Stanford UniversityUS4 papers
- University of WaterlooCA3 papers
- California Institute of TechnologyUS2 papers
- Fermi National Accelerator LaboratoryUS2 papers
- Perimeter InstituteCA2 papers
- Princeton UniversityUS2 papers
- SandboxAQ2 papers
- Turing InstituteGB2 papers
- Alphabet (United States)US1 paper
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14 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'…
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…