Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems

10/11/2021
by   David Brayford, et al.
0

The simulation of quantum circuits using the tensor network method is very computationally demanding and requires significant High Performance Computing (HPC) resources to find an efficient contraction order and to perform the contraction of the large tensor networks. In addition, the researchers want a workflow that is easy to customize, reproduce and migrate to different HPC systems. In this paper, we discuss the issues associated with the deployment of the QuantEX quantum computing simulation software within containers on different HPC systems. Also, we compare the performance of the containerized software with the software running on bare metal.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/12/2023

A Conceptual Architecture for a Quantum-HPC Middleware

Quantum computing promises potential for science and industry by solving...
research
06/09/2015

Reproducible and User-Controlled Software Environments in HPC with Guix

Support teams of high-performance computing (HPC) systems often find the...
research
04/22/2020

Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation

Tensor networks are the main building blocks in a wide variety of comput...
research
01/17/2022

RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation

With the advent of more powerful Quantum Computers, the need for larger ...
research
06/26/2020

Efficient 2D Tensor Network Simulation of Quantum Systems

Simulation of quantum systems is challenging due to the exponential size...
research
05/24/2019

Deploying AI Frameworks on Secure HPC Systems with Containers

The increasing interest in the usage of Artificial Intelligence techniqu...
research
01/15/2020

Algorithms for Tensor Network Contraction Ordering

Contracting tensor networks is often computationally demanding. Well-des...

Please sign up or login with your details

Forgot password? Click here to reset