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Optimization and Tensor Network Methods for Quantum Optics and Quantum Circuit Analysis.
Optimization and Tensor Network Methods for Quantum Optics and Quantum Circuit Analysis.

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자료유형  
 학위논문
Control Number  
0017162983
International Standard Book Number  
9798384338703
Dewey Decimal Classification Number  
004
Main Entry-Personal Name  
Mishra, Sattwik Deb.
Publication, Distribution, etc. (Imprint  
[S.l.] : Stanford University., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
133 p.
General Note  
Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
General Note  
Advisor: Vuckovic, Jelena.
Dissertation Note  
Thesis (Ph.D.)--Stanford University, 2024.
Summary, Etc.  
요약In recent years, there has been rapid progress in the development of highly controllable quantum systems, opening up applications in quantum computing and quantum communication. With the ultimate goal of creating a fault-tolerant quantum computing platform, noisy intermediate scale quantum devices have been shown to be able to carry out non-trivial computational tasks. Thus, it has become important to understand and alleviate the issues affecting the operation of current noisy quantum computers and communication between them, and to develop numerical simulation tools to aid this understanding.In this thesis, I will describe theoretical and computational approaches, based on tools from numerical optimization theory and tensor network simulation methods, to tackle some of these issues. First, I will present a numerical optimization strategy to improve the efficiency of quantum transducers, that are crucial for quantum communication over optical fiber links. Second, I will describe an optimization-based numerical method utilizing tensor network simulations, for efficiently computing performance bounds on noisy quantum circuits to answer if they can outperform classical computers. Finally, I will present a theoretical proposal for a Hamiltonian to model an arbitrary linear optical device, and use it to implement tensor network simulations of a time-delayed feedback system. Such feedback systems could possibly provide a platform for generation of highly entangled states for quantum computation.
Subject Added Entry-Topical Term  
Quantum computing.
Subject Added Entry-Topical Term  
Computers.
Subject Added Entry-Topical Term  
Fourier transforms.
Subject Added Entry-Topical Term  
Hilbert space.
Subject Added Entry-Topical Term  
Circuits.
Subject Added Entry-Topical Term  
Design.
Subject Added Entry-Topical Term  
Photonics.
Subject Added Entry-Topical Term  
Energy.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Electrical engineering.
Subject Added Entry-Topical Term  
Mathematics.
Subject Added Entry-Topical Term  
Optics.
Added Entry-Corporate Name  
Stanford University.
Host Item Entry  
Dissertations Abstracts International. 86-03B.
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:655422

MARC

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■1001  ▼aMishra,  Sattwik  Deb.
■24510▼aOptimization  and  Tensor  Network  Methods  for  Quantum  Optics  and  Quantum  Circuit  Analysis.
■260    ▼a[S.l.]▼bStanford  University.  ▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a133  p.
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-03,  Section:  B.
■500    ▼aAdvisor:  Vuckovic,  Jelena.
■5021  ▼aThesis  (Ph.D.)--Stanford  University,  2024.
■520    ▼aIn  recent  years,  there  has  been  rapid  progress  in  the  development  of  highly  controllable  quantum  systems,  opening  up  applications  in  quantum  computing  and  quantum  communication.  With  the  ultimate  goal  of  creating  a  fault-tolerant  quantum  computing  platform,  noisy  intermediate  scale  quantum  devices  have  been  shown  to  be  able  to  carry  out  non-trivial  computational  tasks.  Thus,  it  has  become  important  to  understand  and  alleviate  the  issues  affecting  the  operation  of  current  noisy  quantum  computers  and  communication  between  them,  and  to  develop  numerical  simulation  tools  to  aid  this  understanding.In  this  thesis,  I  will  describe  theoretical  and  computational  approaches,  based  on  tools  from  numerical  optimization  theory  and  tensor  network  simulation  methods,  to  tackle  some  of  these  issues.  First,  I  will  present  a  numerical  optimization  strategy  to  improve  the  efficiency  of  quantum  transducers,  that  are  crucial  for  quantum  communication  over  optical  fiber  links.  Second,  I  will  describe  an  optimization-based  numerical  method  utilizing  tensor  network  simulations,  for  efficiently  computing  performance  bounds  on  noisy  quantum  circuits  to  answer  if  they  can  outperform  classical  computers.  Finally,  I  will  present  a  theoretical  proposal  for  a  Hamiltonian  to  model  an  arbitrary  linear  optical  device,  and  use  it  to  implement  tensor  network  simulations  of  a  time-delayed  feedback  system.  Such  feedback  systems  could  possibly  provide  a  platform  for  generation  of  highly  entangled  states  for  quantum  computation.
■590    ▼aSchool  code:  0212.
■650  4▼aQuantum  computing.
■650  4▼aComputers.
■650  4▼aFourier  transforms.
■650  4▼aHilbert  space.
■650  4▼aCircuits.
■650  4▼aDesign.
■650  4▼aPhotonics.
■650  4▼aEnergy.
■650  4▼aComputer  science.
■650  4▼aElectrical  engineering.
■650  4▼aMathematics.
■650  4▼aOptics.
■690    ▼a0791
■690    ▼a0389
■690    ▼a0984
■690    ▼a0544
■690    ▼a0405
■690    ▼a0752
■71020▼aStanford  University.
■7730  ▼tDissertations  Abstracts  International▼g86-03B.
■790    ▼a0212
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162983▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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