DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 김은성 | - |
dc.contributor.author | Hwang, Hyeok | - |
dc.contributor.author | 황혁 | - |
dc.date.accessioned | 2024-08-08T19:31:03Z | - |
dc.date.available | 2024-08-08T19:31:03Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1099197&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/322004 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 물리학과, 2024.2,[vi, 51 p. :] | - |
dc.description.abstract | We discuss adaptive tomography in superconducting circuits based on ambiguous measurements. Adaptive tomography, a type of quantum system state tomography, has been widely researched to enable faster tomography. In one study, adaptive tomography utilizing a method that aligns a measurement axis with the state of a qubit within an optical system based on projective measurements showed significantly higher efficiency compared to conventional state tomography methods. However, such a dramatic improvement have theoretical limitations when applied in systems relying on indistinct measurements. We proposed a new adaptive tomography approach in systems based on indistinct measurements by designing measurement axes in a new direction. We verified the approach by using a transmon system, which is one of superconducting qubit systems. The efficiency of this method was quantified by determining how many ensembles are required to achieve a specific error bound for tomography results. The predicted efficiency based on system variables was $33.74%$, while experimentation yielded an actual efficiency of $15.06%$. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 적응 토모그래피▼a양자 상태 토모그래피▼a트랜스몬▼a초전도 큐빗▼a양자 컴퓨팅▼a양자 알고리즘 | - |
dc.subject | Adaptive tomography▼aquantum state tomography▼atransmon▼asuperconducting qubit▼aquantum computing▼aquantum algorithm | - |
dc.title | Adaptive quantum tomography in an indistinct measurement system with superconducting circuits | - |
dc.title.alternative | 초전도 회로를 이용한 불명확한 측정에서의 적응 토모그래피 방식 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :물리학과, | - |
dc.contributor.alternativeauthor | Kim, Eunseong | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.