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Characterizing and Mitigating Noise on a Trapped Ion Quantum Computer
Characterizing and Mitigating Noise on a Trapped Ion Quantum Computer
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103211
- ISBN
- 9798288862151
- DDC
- 539
- 서명/저자
- Characterizing and Mitigating Noise on a Trapped Ion Quantum Computer
- 발행사항
- [Sl] : University of California, Berkeley, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 93 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
- 주기사항
- Advisor: Haffner, Hartmut.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2025.
- 초록/해제
- 요약Current quantum computing platforms suffer from error rates that make it challenging to show a meaningful quantum advantage. The noise driving those errors can be broken down into two categories, those intrinsic to the quantum system used and those originating from external devices used to interface with the system. This dissertation attempts to address both cases, specifically for the trapped-ion platform.First, we attempt to tackle the issue of electric-field noise originating from the surfaces of our ion trap electrodes. It is widely known that such noise leads to high levels of motional heating and reduces the fidelity of gate operations. Previous demonstrations have shown that by changing the morphology of the surface, surface-related heating was significantly reduced. In this thesis, we present the design, construction, and implementation of a trapped-ion system that allows for in-situ argon milling of a trap surface while maintaining the optical access necessary to perform complex quantum operations. We demonstrate several rounds of milling on two ion traps and characterize the mills performance. Additionally, we discuss the impact from milling, as well as potential next steps.Second, we propose and demonstrate a method to empirically probe the spectral sensitivity of a quantum system to external noise on its control signals. While approaches for dealing with intrinsic noise are system dependent, solutions for dealing with noise on external devices are more universal. The complications come not from knowing how to handle the noise, but rather from figuring out which control signals and spectral ranges are a priority. To demonstrate this approach, we consider phase and amplitude noise on the laser fields driving a two-ion quantum gate. By recording the error rate as a function of the injected modulation frequency and power, we identify the most critical spectral ranges for achieving high-fidelity operations. Further, we show that it is not always sufficient to only consider the first-order spectral response and illustrate how to treat second-order contributions. Finally, we estimate the native error rate contributions from both types of laser noise, even though they are not the leading contributors to the overall error rate.
- 일반주제명
- Atomic physics
- 일반주제명
- Quantum physics
- 일반주제명
- Physics
- 일반주제명
- Computational physics
- 키워드
- Entanglement
- 키워드
- Noise
- 키워드
- Surface milling
- 키워드
- Trapped ions
- 기타저자
- University of California, Berkeley Physics
- 기본자료저록
- Dissertations Abstracts International. 87-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202103211
■006m o d
■007cr#unu||||||||
■020 ▼a9798288862151
■035 ▼a(MiAaPQ)AAI32001414
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a539
■1001 ▼aGreene, Nicole Sarah.
■24510▼aCharacterizing and Mitigating Noise on a Trapped Ion Quantum Computer
■260 ▼a[Sl]▼bUniversity of California, Berkeley▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a93 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-01, Section: B.
■500 ▼aAdvisor: Haffner, Hartmut.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2025.
■520 ▼aCurrent quantum computing platforms suffer from error rates that make it challenging to show a meaningful quantum advantage. The noise driving those errors can be broken down into two categories, those intrinsic to the quantum system used and those originating from external devices used to interface with the system. This dissertation attempts to address both cases, specifically for the trapped-ion platform.First, we attempt to tackle the issue of electric-field noise originating from the surfaces of our ion trap electrodes. It is widely known that such noise leads to high levels of motional heating and reduces the fidelity of gate operations. Previous demonstrations have shown that by changing the morphology of the surface, surface-related heating was significantly reduced. In this thesis, we present the design, construction, and implementation of a trapped-ion system that allows for in-situ argon milling of a trap surface while maintaining the optical access necessary to perform complex quantum operations. We demonstrate several rounds of milling on two ion traps and characterize the mills performance. Additionally, we discuss the impact from milling, as well as potential next steps.Second, we propose and demonstrate a method to empirically probe the spectral sensitivity of a quantum system to external noise on its control signals. While approaches for dealing with intrinsic noise are system dependent, solutions for dealing with noise on external devices are more universal. The complications come not from knowing how to handle the noise, but rather from figuring out which control signals and spectral ranges are a priority. To demonstrate this approach, we consider phase and amplitude noise on the laser fields driving a two-ion quantum gate. By recording the error rate as a function of the injected modulation frequency and power, we identify the most critical spectral ranges for achieving high-fidelity operations. Further, we show that it is not always sufficient to only consider the first-order spectral response and illustrate how to treat second-order contributions. Finally, we estimate the native error rate contributions from both types of laser noise, even though they are not the leading contributors to the overall error rate.
■590 ▼aSchool code: 0028.
■650 4▼aAtomic physics
■650 4▼aQuantum physics
■650 4▼aPhysics
■650 4▼aComputational physics
■653 ▼aEntanglement
■653 ▼aNoise
■653 ▼aQuantum computing
■653 ▼aQuantum information
■653 ▼aSurface milling
■653 ▼aTrapped ions
■690 ▼a0748
■690 ▼a0599
■690 ▼a0605
■690 ▼a0216
■71020▼aUniversity of California, Berkeley▼bPhysics.
■7730 ▼tDissertations Abstracts International▼g87-01B.
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357346▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


