Optimizing Quantum Computer Simulations With Data Compression & GPU Acceleration

dc.contributor.authorLjung, Erik
dc.contributor.authorPetrov, Darko
dc.contributor.authorBråberg, Felix
dc.contributor.authorForssén, Björn
dc.contributor.authorRingmar, Beata
dc.contributor.authorHedlund, Jonas
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineeringen
dc.contributor.examinerLinde, Arne
dc.contributor.supervisorPetersen Moura Trancoso, Pedro
dc.contributor.supervisorZouzoula, Stavroula
dc.date.accessioned2023-02-03T10:35:20Z
dc.date.available2023-02-03T10:35:20Z
dc.date.issued2022
dc.date.submitted2023
dc.description.abstractSimulating quantum computers involves high memory usage and often long execution times. For that reason the purpose of this project was to analyze whether data compression and GPU acceleration can be used to run simulations with more qubits than previously allowed. Ultimately this project sheds some light on how GPU acceleration and data compression algorithms, ZFP and FPZIP, impact the amount of qubits that are able to be simulated. The simulator tested in this project was a modified version of the Quantum Exact Simulation Toolkit (QuEST). From the results of this project it was found that data compression shows good potential in decreasing the total memory usage per qubit size. However, the use of data compression negatively impacted the execution time, but by using GPU acceleration the impact was reduced.
dc.identifier.coursecodeDATX02
dc.identifier.urihttps://odr.chalmers.se/handle/20.500.12380/305962
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.titleOptimizing Quantum Computer Simulations With Data Compression & GPU Acceleration
dc.type.degreeExamensarbete på kandidatnivåsv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2
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