This title appears in the Scientific Report :
2019
Please use the identifier:
http://dx.doi.org/10.1016/j.cpc.2018.11.005 in citations.
Please use the identifier: http://hdl.handle.net/2128/21589 in citations.
Massively parallel quantum computer simulator, eleven years later
Massively parallel quantum computer simulator, eleven years later
A revised version of the massively parallel simulator of a universal quantum computer, described in this journal eleven years ago, is used to benchmark various gate-based quantum algorithms on some of the most powerful supercomputers that exist today. Adaptive encoding of the wave function reduces t...
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Personal Name(s): | De Raedt, Hans |
---|---|
Jin, Fengping / Willsch, Dennis / Nocon, Madita / Yoshioka, Naoki / Ito, Nobuyasu / Yuan, Shengjun (Corresponding author) / Michielsen, Kristel (Corresponding author) | |
Contributing Institute: |
Jülich Supercomputing Center; JSC JARA - HPC; JARA-HPC |
Published in: | Computer physics communications, 237 (2019) S. 47-61 |
Imprint: |
Amsterdam
North Holland Publ. Co.
2019
|
DOI: |
10.1016/j.cpc.2018.11.005 |
Document Type: |
Journal Article |
Research Program: |
Manipulation and dynamics of quantum spin systems Doktorand ohne besondere Förderung Computational Science and Mathematical Methods |
Link: |
Get full text OpenAccess Get full text OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/21589 in citations.
A revised version of the massively parallel simulator of a universal quantum computer, described in this journal eleven years ago, is used to benchmark various gate-based quantum algorithms on some of the most powerful supercomputers that exist today. Adaptive encoding of the wave function reduces the memory requirement by a factor of eight, making it possible to simulate universal quantum computers with up to 48 qubits on the Sunway TaihuLight and on the K computer. The simulator exhibits close-to-ideal weak-scaling behavior on the Sunway TaihuLight, on the K computer, on an IBM BlueGene/Q, and on Intel Xeon based clusters, implying that the combination of parallelization and hardware can track the exponential scaling due to the increasing number of qubits. Results of executing simple quantum circuits and Shor’s factorization algorithm on quantum computers containing up to 48 qubits are presented. |