课题基金 / 基金详情

Optimal control for robust ion trap quantum logic

Optimal control for robust ion trap quantum logic
稳健离子阱量子逻辑的优化控制
批准号:
EP/P024890/1
负责人:
Richard Thompson
金额:
$141.52万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

项目摘要

项目成果

Richard Thompson的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Minuscule objects that follow the laws of quantum mechanics have the promise of carrying out delicate tasks fundamentally better than macroscopic objects that are bound by the laws of Newtonian classical mechanics. The superposition principle permits individual quantum mechanical objects to follow multiple trajectories in parallel, and pairs (or larger collections) of such objects can be entangled with each other, such that a measurement on one object affects the properties of the other objects even if they are far apart. The superposition principle and entanglement provide the basis for applications like precision metrology or quantum computation that are expected to revolutionise our technology, just like the steam engine or the advent of electricity has done in the past.The explicit utilisation of these quantum mechanical effects for useful applications, however, requires extremely accurate control over quantum objects and their interaction with their surroundings. Trapped ions are one of the leading systems in this context. Selected energy levels of an ion define a qubit, which is the elementary unit of a quantum computer, just like a classical computer is comprised of many bits. Confined by electric and magnetic trapping fields, ions can be manipulated with laser beams, and the collective motion of strings of ions enables the exchange of information between several qubits. For this to work with high accuracy it is typically required to cool the ions to a temperature close to absolute zero. Once such a temperature has been reached, one makes use of the fact that any manipulation of the ions changes their motional state in order to implement logical operations that define the elementary building blocks of a quantum algorithm.Since the ions' motion is easily heated by its room-temperature environment, the intentionally induced changes in the motional state can be accompanied by uncontrolled heating processes, and any deviation from the desired change in motional state results in reduced accuracy of the operations being implemented. The goal of the present project is the development and experimental implementation of laser control of trapped ions that achieves desired operations with high accuracy and robustness in the presence of undesired heating and other experimental imperfections.In a strong collaboration between theory and experiment, control sequences will be developed and tested in a novel ion trap whose parameters can be varied over a wide range. The ability to tune the strength of the interaction between qubits and motion (the Lamb-Dicke parameter) and the strength of thermal effects will allow us to identify the control strategies that deal with each type of imperfection in an ideal fashion. Most current experiments are conducted with a rather weak interaction between qubits and motion, but we aim at the realisation of logical operations between qubits that interact strongly with the motion. The increased manipulation speed that comes with the strong interaction increases the number of logical operations that can be implemented within the limits imposed by finite decoherence time, and as such will help us to move from proof-of-principle experiments to a practical application.The immediate goal of our work is the improvement in the control of trapped ions for quantum computing, but the advanced control techniques we will develop directly apply to any type of coherent manipulation of trapped ions. Since strong interactions between qubits are beneficial for fast information transfer but challenging for the implementation of accurate manipulations in essentially any quantum system, the control techniques to be developed are expected to find application in a broad range of other systems in quantum optics and quantum electronics.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Characterisation and control of trapped-ion qubit
俘获离子量子位的表征和控制
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Lee Chungsun]
通讯作者: Lee Chungsun
Quantum coherence in trapped ions
被捕获离子的量子相干性
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Corfield Oliver]
通讯作者: Corfield Oliver
DOI: 10.1103/physreva.99.013423
发表时间: 2018-09
期刊: Physical Review A
影响因子: 2.9
作者: [M. Joshi;P. Hrmo;V. Jarlaud;F. Oehl;R. Thompson]
通讯作者: M. Joshi;P. Hrmo;V. Jarlaud;F. Oehl;R. Thompson
Measurement-based ground state cooling of a trapped ion oscillator
基于测量的俘获离子振荡器基态冷却
DOI: 10.48550/arxiv.2208.05332
发表时间: 2022
期刊:
影响因子: --
作者: [Lee C]
通讯作者: Lee C
10
    Lost at Sea - where are all the tyre particles? (TYRE-LOSS)
    • 批准号:
      NE/V00185X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $58.0万
    • 财政年份:
      2021
    • 负责人:
      Richard Thompson
    • 依托单位:
    Biodegradable Bioplastics - Assessing Environmental Risk (BIO-PLASTIC-RISK)
    • 批准号:
      NE/V007556/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $137.92万
    • 财政年份:
      2020
    • 负责人:
      Richard Thompson
    • 依托单位:
    Current and Future Effects of Microplastics on Marine Shelf Ecosystems (MINIMISE)
    • 批准号:
      NE/S003967/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $34.55万
    • 财政年份:
      2019
    • 负责人:
      Richard Thompson
    • 依托单位:
    Distinguishing realistic environmental risks of nanoplastics by investigating fate and toxicology in real-world scenarios
    • 批准号:
      NE/N006305/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $45.22万
    • 财政年份:
      2015
    • 负责人:
      Richard Thompson
    • 依托单位:
    国内基金
    海外基金
    Pt/碲化物亲氧性调控助力醇类燃料电氧化的研究
    • 批准号:
      22302168
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      30.00万元
    • 批准年份:
      2023
    • 负责人:
      任芳芳
    • 依托单位:
    钱江潮汐影响下越江盾构开挖面动态泥膜形成机理及压力控制技术研究
    • 批准号:
      LY21E080004
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2020
    • 负责人:
      尹鑫晟
    • 依托单位:
    Cortical control of internal state in the insular cortex-claustrum region
    Lagrange网络实用同步的不连续控制研究
    • 批准号:
      61603174
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      20.0万元
    • 批准年份:
      2016
    • 负责人:
      马米花
    • 依托单位: