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Theoretical Tools for Quantum Sensor Optimization and Entanglement Quantification
Theoretical Tools for Quantum Sensor Optimization and Entanglement Quantification
Theoretical Tools for Quantum Sensor Optimization and Entanglement Quantification

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20250211151104
ISBN  
9798382717173
DDC  
530.1
저자명  
Beckey, Jacob L.
서명/저자  
Theoretical Tools for Quantum Sensor Optimization and Entanglement Quantification
발행사항  
[Sl] : University of Colorado at Boulder, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
198 p
주기사항  
Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
주기사항  
Advisor: Smith, Graeme.
학위논문주기  
Thesis (Ph.D.)--University of Colorado at Boulder, 2024.
초록/해제  
요약In this thesis, we develop theoretical tools aimed at facilitating the development of more useful quantum sensors and more efficient methods of multipartite entanglement quantification. In the first half, we study the quantum Fisher information (QFI) -- a canonical quantity in quantum metrology which captures the amount of information about unknown parameter(s) one can extract by measuring a quantum state that depends on those parameters. While the QFI can be computed easily in some simple cases, computing it for a generic quantum state whose dynamics might not be well-understood, is often intractable. We derive analytical, dynamics-agnostic bounds on the QFI that are computable on a quantum computer, allow one to estimate the QFI, and enable the variational preparation of the state that is approximately optimal for a given sensing task. We carefully prove their properties and point out relations to other quantities often used in quantum estimation theory.The second half of the thesis is dedicated to the study of a general family of multipartite entanglement measures, called the concentratable entanglements (CEs). We define the measures, show that many well-known measures are recovered as special cases, and then prove their essential mathematical properties. We then construct statistical estimators for these measures that utilize only one- and two-copy measurements, which are implementable using today's technologies. Moreover, we provide analytical performance guarantees in the form of upper bounds on the number of copies needed to estimate these measures to a desired precision, and provide upper bounds on the classical computation cost required to process the data from these protocols. Our work elucidates the various trade-offs for experimentalists striving to probe entanglement in quantum systems of many tens of qubits, and contributes to the quantum learning theory community aiming to quantify the hardness of estimating various properties of quantum states.
일반주제명  
Quantum physics
일반주제명  
Theoretical physics
일반주제명  
Physics
키워드  
Quantum computing
키워드  
Quantum entanglement
키워드  
Quantum learning theory
키워드  
Quantum metrology
기타저자  
University of Colorado at Boulder Physics
기본자료저록  
Dissertations Abstracts International. 85-11B.
전자적 위치 및 접속  
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MARC

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■1001  ▼aBeckey,  Jacob  L.▼0(orcid)0000-0002-2009-8661
■24510▼aTheoretical  Tools  for  Quantum  Sensor  Optimization  and  Entanglement  Quantification
■260    ▼a[Sl]▼bUniversity  of  Colorado  at  Boulder▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a198  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-11,  Section:  B.
■500    ▼aAdvisor:  Smith,  Graeme.
■5021  ▼aThesis  (Ph.D.)--University  of  Colorado  at  Boulder,  2024.
■520    ▼aIn  this  thesis,  we  develop  theoretical  tools  aimed  at  facilitating  the  development  of  more  useful  quantum  sensors  and  more  efficient  methods  of  multipartite  entanglement  quantification.  In  the  first  half,  we  study  the  quantum  Fisher  information  (QFI)  --  a  canonical  quantity  in  quantum  metrology  which  captures  the  amount  of  information  about  unknown  parameter(s)  one  can  extract  by  measuring  a  quantum  state  that  depends  on  those  parameters.  While  the  QFI  can  be  computed  easily  in  some  simple  cases,  computing  it  for  a  generic  quantum  state  whose  dynamics  might  not  be  well-understood,  is  often  intractable.  We  derive  analytical,  dynamics-agnostic  bounds  on  the  QFI  that  are  computable  on  a  quantum  computer,  allow  one  to  estimate  the  QFI,  and  enable  the  variational  preparation  of  the  state  that  is  approximately  optimal  for  a  given  sensing  task.  We  carefully  prove  their  properties  and  point  out  relations  to  other  quantities  often  used  in  quantum  estimation  theory.The  second  half  of  the  thesis  is  dedicated  to  the  study  of  a  general  family  of  multipartite  entanglement  measures,  called  the  concentratable  entanglements  (CEs).  We  define  the  measures,  show  that  many  well-known  measures  are  recovered  as  special  cases,  and  then  prove  their  essential  mathematical  properties.  We  then  construct  statistical  estimators  for  these  measures  that  utilize  only  one-  and  two-copy  measurements,  which  are  implementable  using  today's  technologies.  Moreover,  we  provide  analytical  performance  guarantees  in  the  form  of  upper  bounds  on  the  number  of  copies  needed  to  estimate  these  measures  to  a  desired  precision,  and  provide  upper  bounds  on  the  classical  computation  cost  required  to  process  the  data  from  these  protocols.  Our  work  elucidates  the  various  trade-offs  for  experimentalists  striving  to  probe  entanglement  in  quantum  systems  of  many  tens  of  qubits,  and  contributes  to  the  quantum  learning  theory  community  aiming  to  quantify  the  hardness  of  estimating  various  properties  of  quantum  states.
■590    ▼aSchool  code:  0051.
■650  4▼aQuantum  physics
■650  4▼aTheoretical  physics
■650  4▼aPhysics
■653    ▼aQuantum  computing
■653    ▼aQuantum  entanglement
■653    ▼aQuantum  learning  theory
■653    ▼aQuantum  metrology
■690    ▼a0599
■690    ▼a0753
■690    ▼a0605
■71020▼aUniversity  of  Colorado  at  Boulder▼bPhysics.
■7730  ▼tDissertations  Abstracts  International▼g85-11B.
■790    ▼a0051
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160711▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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