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Automated Design of Superconducting Quantum Circuits
Automated Design of Superconducting Quantum Circuits
Automated Design of Superconducting Quantum Circuits

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자료유형  
 학위논문 서양
최종처리일시  
20260202104739
ISBN  
9798290650784
DDC  
660
저자명  
Rajabzadeh, Taha.
서명/저자  
Automated Design of Superconducting Quantum Circuits
발행사항  
[Sl] : Stanford University, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
105 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
주기사항  
Advisor: Safavi-Naeini, Amir.
학위논문주기  
Thesis (Ph.D.)--Stanford University, 2025.
초록/해제  
요약Superconducting quantum circuits are among the most promising platforms for realizing quantum technologies such as quantum computing and quantum sensing. However, designing these systems presents significant challenges. Not only are they numerically complex to analyze, but they also require designers to maintain an intuitive understanding of the circuit's behavior while satisfying a wide range of physical constraints to ensure experimental viability. As quantum technologies scale in complexity, there is a growing need for tools that can automate and optimize the design of superconducting circuits. In the first part of this thesis, we introduce an algorithm for analyzing arbitrary superconducting quantum circuits, supported by our Python package \\SQcircuit, which serves as a foundational building block for automated circuit design. In the second part, we present a framework built on top of SQcircuit that automates the optimization and design of superconducting quantum circuits. Finally, we demonstrate how this end-to-end pipeline can be applied to discover and optimize novel qubit architectures, paving the way for next-generation quantum technologies.
일반주제명  
Cold
일반주제명  
Communication
일반주제명  
Hilbert space
일반주제명  
Circuits
일반주제명  
Energy
일반주제명  
Codes
일반주제명  
Python
일반주제명  
Eigenvectors
일반주제명  
Islands
일반주제명  
Quantum computing
일반주제명  
Quantum physics
일반주제명  
Coordinate transformations
일반주제명  
Fourier transforms
일반주제명  
Error correction & detection
일반주제명  
Lasers
일반주제명  
Computer engineering
일반주제명  
Design
일반주제명  
Internet resources
일반주제명  
Atoms & subatomic particles
기타저자  
Stanford University.
기본자료저록  
Dissertations Abstracts International. 87-01B.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260126s2025        us                              c    eng  d
■001000017358701
■00520260202104739
■006m          o    d                
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■020    ▼a9798290650784
■035    ▼a(MiAaPQ)AAI32149688
■035    ▼a(MiAaPQ)Stanfordmn995cd0499
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a660
■1001  ▼aRajabzadeh,  Taha.
■24510▼aAutomated  Design  of  Superconducting  Quantum  Circuits
■260    ▼a[Sl]▼bStanford  University▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a105  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-01,  Section:  B.
■500    ▼aAdvisor:  Safavi-Naeini,  Amir.
■5021  ▼aThesis  (Ph.D.)--Stanford  University,  2025.
■520    ▼aSuperconducting  quantum  circuits  are  among  the  most  promising  platforms  for  realizing  quantum  technologies  such  as  quantum  computing  and  quantum  sensing.  However,  designing  these  systems  presents  significant  challenges.  Not  only  are  they  numerically  complex  to  analyze,  but  they  also  require  designers  to  maintain  an  intuitive  understanding  of  the  circuit's  behavior  while  satisfying  a  wide  range  of  physical  constraints  to  ensure  experimental  viability.  As  quantum  technologies  scale  in  complexity,  there  is  a  growing  need  for  tools  that  can  automate  and  optimize  the  design  of  superconducting  circuits.  In  the  first  part  of  this  thesis,  we  introduce  an  algorithm  for  analyzing  arbitrary  superconducting  quantum  circuits,  supported  by  our  Python  package  \\SQcircuit,  which  serves  as  a  foundational  building  block  for  automated  circuit  design.  In  the  second  part,  we  present  a  framework  built  on  top  of  SQcircuit  that  automates  the  optimization  and  design  of  superconducting  quantum  circuits.  Finally,  we  demonstrate  how  this  end-to-end  pipeline  can  be  applied  to  discover  and  optimize  novel  qubit  architectures,  paving  the  way  for  next-generation  quantum  technologies.
■590    ▼aSchool  code:  0212.
■650  4▼aCold
■650  4▼aCommunication
■650  4▼aHilbert  space
■650  4▼aCircuits
■650  4▼aEnergy
■650  4▼aCodes
■650  4▼aPython
■650  4▼aEigenvectors
■650  4▼aIslands
■650  4▼aQuantum  computing
■650  4▼aQuantum  physics
■650  4▼aCoordinate  transformations
■650  4▼aFourier  transforms
■650  4▼aError  correction  &  detection
■650  4▼aLasers
■650  4▼aComputer  engineering
■650  4▼aDesign
■650  4▼aInternet  resources
■650  4▼aAtoms  &  subatomic  particles
■690    ▼a0791
■690    ▼a0389
■690    ▼a0464
■690    ▼a0599
■690    ▼a0459
■71020▼aStanford  University.
■7730  ▼tDissertations  Abstracts  International▼g87-01B.
■790    ▼a0212
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358701▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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