QC WORKSHOP 12: Intro to Ion Trap (2021/09/18)

本次 workshop 我们邀请到 IonQ 的 Daiwei Zhu 同学介绍基于离子阱的量子计算技术以及相关应用。离子 阱是目前实现量子计算的重要硬件技术之一,该技术利用电场和激光俘获并控制真空中的自然离子实现量子计算。与超导量子比特相比,其操作不易出错,单个离子量子状态持续的时间更长,并且可以实现量子比特之间的全连通性。尝试离子阱技术路线的主要公司有:美国的 IonQ、Honeywell,英国的 Universal Quantum 以及奥地利的 Alpine Quantum Technology。

了解更多详情请点击: https://ionq.com/technology

演讲者简介:
Dr. Zhu is a senior application scientist at IonQ. He earned his Ph.D. in 2021, working with Christopher Monroe at the University of Maryland, developing trapped-ion quantum computers and algorithms targeting near-term quantum devices. His research interests include quantum algorithm development, hardware-based quantum algorithm optimization, verification and characterization of quantum devices, and quantum machine learning.

通过本次活动可以学习到:

  1. 离子阱的冷却、俘获及控制基础机制。
  2. 离子阱量子计算单双比特门的物理实现。
  3. 离子阱量子计算技术现状及未来前景展望。
  4. 离子阱在量子机器学习的应用案例:QAOA,VQE,量子生成模型
  5. 离子阱与超导量子比特的性能对比,优势与劣势。

活动安排

活动时间:
2021年9月18日(星期六)
9 AM(美国中部时间)
10 AM (美国东部时间)
4 PM (法国巴黎时间)
10PM (中国北京时间)

接入方式 1: 加入微信群,及时获取FinQ未来活动讯息。二维码7天有效。

接入方式 2:

Topic: FinQ Quantum Workshop
Time: Sep 18, 2021 10:00 Eastern Time (US and Canada)

Join Zoom Meeting
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Meeting ID: 893 2677 3496
Passcode: 312935
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Featured image: IonQ’s trapped ion system. Credit: Duke University, staq.pratt.duke.edu/

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