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  2. Year of 2019

Massively parallel split-step Fourier techniques for simulating quantum systems on graphics processing units

https://doi.org/10.15102/1394.00001054
https://doi.org/10.15102/1394.00001054
d8050967-0e42-4a82-970d-fd9e15561c45
Name / File License Actions
225.pdf Full_Text (9.6 MB)
doc(2).pdf Final_Exam_Abstract (42.9 kB)
Item type 学位論文 / Thesis or Dissertation(1)
PubDate 2019-12-27
Title
Title GPUを用いた量子系シミュレーションのための大規模並列スプリットステップ・フーリエ法
Language ja
Title
Title Massively parallel split-step Fourier techniques for simulating quantum systems on graphics processing units
Language en
Language
Language eng
Resource Type
Resource Type Identifier http://purl.org/coar/resource_type/c_db06
Resource Type doctoral thesis
Identifier Registration
Identifier Registration 10.15102/1394.00001054
Identifier Registration Type JaLC
Access Right
Access Rights open access
Access Rights URI http://purl.org/coar/access_right/c_abf2
Author Schloss, James

× Schloss, James

en Schloss, James

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Abstract
Description Type Other
Description The split-step Fourier method is a powerful technique for solving partial differential equations and simulating ultracold atomic systems of various forms. In this body of work, we focus on several variations of this method to allow for simulations of one, two, and three-dimensional quantum systems, along with several notable methods for controlling these systems. In particular, we use quantum optimal control and shortcuts to adiabaticity to study the non-adiabatic generation of superposition states in strongly correlated one-dimensional systems, analyze chaotic vortex trajectories in two dimensions by using rotation and phase imprinting methods, and create stable, threedimensional vortex structures in Bose–Einstein condensates through artificial magnetic fields generated by the evanescent field of an optical nanofiber. We also discuss algorithmic optimizations for implementing the split-step Fourier method on graphics processing units. All computational methods present in this work are demonstrated on physical systems and have been incorporated into a state-of-the-art and open-source software suite known as GPUE, which is currently the fastest quantum simulator of its kind.
Language en
Exam Date
2019-12-09
Degree Conferral Date
Date Granted 2019-12-31
Degree
Degree Name Doctor of Philosophy
Degree Referral Number
Dissertation Number 甲第41号
Degree Conferrral Institution
Degree Grantor Name Identifier Scheme kakenhi
Degree Grantor Name Identifier 38005
Degree Grantor Name Okinawa Institute of Science and Technology Graduate University
Version Format
Version Type VoR
Version Type Resource http://purl.org/coar/version/c_970fb48d4fbd8a85
Copyright Information
Rights © 2019 The Author.
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