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Quantum Information Processing with Bosonic Systems

Quantum Information Processing with Bosonic Systems
玻色子系统的量子信息处理
批准号:
RGPIN-2021-02637
负责人:
Lau, HoiKwan
金额:
$2.11万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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英文摘要
Quantum technology is widely anticipated to revolutionize numerous technological areas, such as computation, communication, sensing. Most current quantum technology research has focused on two-level (qubit) systems, but this approach suffers from major drawbacks in scalability and information capacity. In my NSERC Discovery program, I will target a promising alternative: bosonic quantum technology. Unlike a qubit, each bosonic mode offers effectively infinite quantum levels to store information. Furthermore, bosonic systems are ubiquitous in many platforms (e.g. photons, mechanical oscillators), some even incorporate 10,000 times more units than qubit devices. Nevertheless, analyzing the enormous bosonic degree of freedom is challenging, so nearly all aspects of bosonic technology, including applications, information encoding, and device analysis, have been less studied than qubit counterparts. Building on my past successes in filling some of these theoretical gaps, the long-term goal of my program is to further improve the practicality of bosonic quantum technology. In the next 5 years, my team will address three short-term objectives: 1: Develop bosonic simulator for open quantum systems (systems interacting with a bath). Highly scalable bosonic platforms allow both system and bath to be simulated. We will formulate the architecture of such simulator and analyze its error due to practical imperfections. 2: Devise protocol to extract continuous-variable (CV) resources. CV cluster state is the class of resourceful bosonic state (entanglement) that can be efficiently generated, but its utility is debatable due to intrinsic error. We will analyze its mathematical structure so as to devise procedures to convert the CV entanglement to qubit entanglement, which has numerous applications and well-studied error correction strategies. 3: Refine hybrid interface between itinerant and localized modes. We will explore strategies, e.g. high-speed control, recycling imperfect entanglement, and non-linear interaction, to distribute quantum resources more efficiently in remote devices. These works will make transformative contributions to a largely unexplored type of quantum technology with incredible potential. Specifically, our results will: 1) facilitate the development of a powerful simulator for studying open quantum phenomena, e.g. chemical and biological processes, which are of broad interest but too resource demanding to simulate with today's computers; 2) lead to a new `top-down' quantum computer that can evade the scalability bottleneck of existing qubit computers; 3) enable high-quality quantum networks that have diverse applications, e.g. in secure communication and precise telescopy. Additionally, the HQP trained in my program will become experts in quantum technology. Both the technological advancements and trained personnel in my program will help fuel Canada's blooming quantum industry; this will bring social and economic benefits to Canada.
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Quantum Information Science
  • 批准号:
    CRC-2020-00134
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $8.74万
  • 财政年份:
    2022
  • 负责人:
    Lau, HoiKwan
  • 依托单位:
Quantum Information Processing with Bosonic Systems
  • 批准号:
    DGECR-2021-00078
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2021
  • 负责人:
    Lau, HoiKwan
  • 依托单位:
Quantum Information Processing with Bosonic Systems
  • 批准号:
    RGPIN-2021-02637
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2021
  • 负责人:
    Lau, HoiKwan
  • 依托单位:
Quantum Information Science
  • 批准号:
    CRC-2020-00134
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $8.74万
  • 财政年份:
    2021
  • 负责人:
    Lau, HoiKwan
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    HAOFEI ZHANG
  • 依托单位:
SCIENCE CHINA Information Sciences