# General-purpose quantum circuit simulator with Projected Entangled-Pair   States and the quantum supremacy frontier

**Authors:** Chu Guo, Yong Liu, Min Xiong, Shichuan Xue, Xiang Fu, Anqi Huang,, Xiaogang Qiang, Ping Xu, Junhua Liu, Shenggen Zheng, He-Liang Huang, Mingtang, Deng, Dario Poletti, Wan-Su Bao, Junjie Wu

arXiv: 1905.08394 · 2019-11-07

## TL;DR

This paper introduces a versatile quantum circuit simulator based on Projected Entangled-Pair States, capable of modeling 2D quantum systems and assessing the quantum supremacy frontier by efficiently computing amplitudes of large qubit lattices.

## Contribution

It presents a novel application of PEPS algorithms as a general-purpose quantum circuit simulator for 2D systems, enabling precise resource estimation and amplitude computation.

## Key findings

- Simulated a 7x7 qubit lattice with depth 42 in 31 minutes.
- Used less than 93 TB memory on Tianhe-2 supercomputer.
- Demonstrated the simulator's capability to explore quantum supremacy boundaries.

## Abstract

Recent advances on quantum computing hardware have pushed quantum computing to the verge of quantum supremacy. Random quantum circuits are outstanding candidates to demonstrate quantum supremacy, which could be implemented on a quantum device that supports nearest-neighbour gate operations on a two-dimensional configuration. Here we show that using the Projected Entangled-Pair States algorithm, a tool to study two-dimensional strongly interacting many-body quantum systems, we can realize an effective general-purpose simulator of quantum algorithms. This technique allows to quantify precisely the memory usage and the time requirements of random quantum circuits, thus showing the frontier of quantum supremacy. With this approach we can compute the full wave-function of the system, from which single amplitudes can be sampled with unit fidelity. Applying this general quantum circuit simulator we measured amplitudes for a $7\times 7$ lattice of qubits with depth $1+40+1$ and double-precision numbers in 31 minutes using less than $93$ TB memory on the Tianhe-2 supercomputer.

## Full text

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## Figures

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## References

91 references — full list in the complete paper: https://tomesphere.com/paper/1905.08394/full.md

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Source: https://tomesphere.com/paper/1905.08394