# Large scale multi-node simulations of $\mathbb{Z}_2$ gauge theory quantum circuits using Google Cloud Platform

@inproceedings{Gustafson2021LargeSM, title={Large scale multi-node simulations of \$\mathbb\{Z\}\_2\$ gauge theory quantum circuits using Google Cloud Platform}, author={Erik J. Gustafson and Burt Holzman and Jim Kowalkowski and Henry Lamm and Andy C. Y. Li and Gabriel N. Perdue and Sergio Boixo and Sergei V. Isakov and Orion Martin and Ross Thomson and Catherine Vollgraff Heidweiller and Jackson Beall and Martin Ganahl and Guifr{\'e} Vidal and Evan Peters Fermi National Accelerator Laboratory and Google Mountain View and University of Waterloo}, year={2021} }

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 quantum fields is a challenge that is beyond the capabilities of classical computing, but it can teach us important lessons about the fundamental fabric of space and time. Whether we may answer scientific questions of interest using nearterm quantum computing hardware is an open question that requires a detailed…

## 2 Citations

### Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution

- Physics
- 2021

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 computationally…

### Simulations of Quantum Circuits with Approximate Noise using qsim and Cirq

- Computer Science, Physics
- 2021

A novel delayed inner product algorithm for quantum trajectories which can result in an order of magnitude speedup for low noise simulation is presented, and tools to use this framework in Google Cloud Platform are provided.

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