THUNDER Research Group

SnuQS A Quantum circuit simulator using storage devices.

Overview

SnuQS is a full-state simulation framework, SnuQS. It exploits storage devices, such as HDDs and NVMe SSDs, to enlarge the available main memory capacity at a small cost.

SnuQS uses an automatic circuit partitioning technique based on its qubit permutation and amplitude layout. Moreover, SnuQS prefetches amplitudes to overlap computation and I/O. SnuQS com- bines the circuit partitioning technique with the three-step qubit permutation to guarantee that the I/O operations are grouped in a contiguous block, and the block size is large enough to achieve high I/O bandwidth.

SnuQS also provides accompanying quantum benchmark applications: QFT, Grover’s search, Quantum teleportation, 8-cycle 49-qubit quantum supremacy circuit, 8-cycle 53-qubit sycamore circuit, Variational quantum eigensolver, Quantum phase estimation, quantum neural network, QAOA-MAXCUT, and QAOA-3SAT. Each of them is implemented in IBM qiskit and OpenQASM for portability.

Finally, SnuQS provides web-based open source quantum circit composer, which is executable in any browsers.

Publications

Please use the citation below to reference SnuQS.

  • [ICS] Daeyoung Park, Heehoon Kim, Jinpyo Kim, Taehyun Kim, and Jaejin Lee. SnuQS: Scaling Quantum Circuit Simulation using Storage Devices. to appear in ICS'22: Proceedings of the ACM International Conference on Supercomputing, Virtual, June 2022.

Download

Every component of SnuQS can be downloaded from GitHub.

Manual

If you would like to download the SnuQS user manual, please fill out the following form and click the download button. An email containing the download URL will be sent to the email address.

Contributors

  • Current: Daeyoung Park, Heehoon Kim, Jinpyo Kim and Jaejin Lee

Contact and Bug Report

E-mail: snuqs@aces.snu.ac.kr

License

Copyright (c) 2022 Seoul National University.

All rights reserved.

You are hereby authorized to use, reproduce, and modify the software and documentation, and
to distribute the software and documentation, including modifications, for non-commercial 
purposes only.

Redistribution and use in source and binary forms, with or without modification, are 
permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of 
conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of 
conditions and the following disclaimer in the documentation and/or other materials provided 
with the distribution.

3. Neither the name of Seoul National University nor the names of its contributors may be
used to endorse or promote products derived from this software without specific prior 
written permission.

4. The grant of the rights will not include and does not grant you the right to sell the 
software, and does not grant to you the right to license the software. For purposes of the 
foregoing, “sell” means practicing any or all of the rights granted to you to provide a 
product or service whose value derives, entirely or substantially, from the functionality
of the software to third parties for a fee or other consideration (including without 
limitation fees for hosting or consulting/support services related to the software).

THIS SOFTWARE IS PROVIDED BY SEOUL NATIONAL UNIVERSITY “AS IS” AND ANY EXPRESS OR IMPLIED 
WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SEOUL NATIONAL UNIVERSITY 
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, 
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, 
WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING 
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DAMAGE.

Contact information:
Thunder Research Group
Department of Computer Science and Engineering
Seoul National University, Seoul 08826, Korea
http://aces.snu.ac.kr

Contributors:
Daeyoung Park, Heehoon Kim, Jinpyo Kim and Jaejin Lee