Paper Info
Title
High-Performance Quantum Computing Simulation for the Quantum Geometric Machine Model
Abstract
Due to the unavailability of quantum computers, simulation of quantum algorithms using classical computers is still the most affordable option for research of algorithms and models for quantum computing. As such simulation requires high computing power and memory resources, and computations are regular and data-intensive, GPUs become a suitable solution for accelerating the simulation of quantum algorithms. This work introduces an extension of the execution library for the VPE-qGM environment to support GPU acceleration. Hadamard gates with up to 20 quantum bits were simulated, and speedups of up to approximately 540× over a sequential simulation and of approximately 85× over a 8-core distributed simulation in the VirD-GM environment were achieved.
Year
DOI
Venue
2013
10.1109/CCGrid.2013.50
Cluster, Cloud and Grid Computing
Keywords
Field
DocType
digital simulation,graphics processing units,libraries,multiprocessing systems,parallel processing,quantum computing,8-core distributed simulation,GPU acceleration,Hadamard gates,VPE-qGM environment,VirD-GM environment,classical computers,execution library,high-performance quantum computing simulation,quantum algorithms,quantum bits,quantum computers,quantum geometric machine model,sequential simulation,GPU Computing,Quantum Process,Quantum Simulation
One-way quantum computer,Quantum process,Computer science,Parallel computing,Quantum computer,Quantum simulator,Computational science,Quantum algorithm,Quantum information,Quantum network,Computation
Conference
ISSN
ISBN
Citations 
2376-4414
978-1-4673-6465-2
7
PageRank 
References 
Authors
0.78
4
3
Name
Order
Citations
PageRank
Adriano Maron1162.50
Renata Hax Sander Reiser211010.90
Maurício L. Pilla32111.50