QC WORKSHOP 24: Introduction to Variational Quantum Circuit and Quantum Neural Networks

BACKGROUND

Quantum computing has undergone rapid development over recent years: from first conceptualization in the 1980s, and early proof of principles for hardware in the 2000s, quantum computers can now be built with hundreds of qubits. While the technology remains in its infancy, the fast progress of quantum hardware has led many to assert that so-called Noisy-Intermediate Scale Quantum (NISQ) devices could outperform conventional computers shortly. Particularly, the Variational Quantum Eigensolver (VQE) was put forth to be the most promising algorithm on NISQ devices because VQE admits only a small number of qubits and shows some degree of noise resilience. The VQE mechanisms are often cast as hybrid algorithms that practically allow a Variational Quantum Circuit (VQC) with classical machine learning models. In this report, for one thing, we will characterize the VQC-based quantum neural networks (QNN) on NISQ devices in terms of theoretical and empirical study; for another, we aim at investigating new applications of VQC-based QNN for automatic speech recognition and natural language processing.

OUR SPEAKER

Dr. Jun Qi is currently a Tenure-Track Assistant Professor in the Department of Electronic Engineering at Fudan University, Shanghai, China. Dr. Jun Qi received his Ph.D. degree from the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA in May 2022. Dr. Qi’s research focuses on quantum machine learning theory, quantum optimization algorithms, and quantum speech and NLP applications. Dr. Qi authored and co-authored many published papers and book chapters in the fields of Quantum Technologies, Speech Recognition, and Signal Processing. Moreover, Dr. Qi was the recipient of 1st prize in Xanadu AI Quantum Machine Learning Competition in 2019, and his ICASSP paper about quantum speech recognition was nominated as the best paper candidate in 2022. Dr. Qi gave tutorials on Quantum Machine Learning for Speech and Language Processing at the venues of IJCAI’21, ICASSP’22, and ISCSLP’22.

IN THIS SESSION

You will learn:

  • VQC-based QNN on NISQ devices
  • Noise resilience of VQC
  • VQC-based QNN for automatic speech recognition and natural language processing.

TIME & AGENDA: (Date/time and activities involved)

Oct 22, 2022 (Saturday)
9 PM (U.S. East Coast)
6 PM (U.S. West Coast)

Oct 23, 2022 (Sunday)
9 AM (Beijing Time)

This is a one-hour event including a 45 min presentation followed by a 15 min discussion. The presentation will be held in Mandarin.

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You can JOIN THE EVENT via either using the Zoom link below, or join us on our Wechat group we will post a reminder link on the day of the event.

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QC WORKSHOP 21: Post Quantum Cryptography & bitcoin

White house released NSM10 on May 4th of 2022, requiring whole USA to upgrade all IT digital systems, fundamental & critical infrastructure systems, military departments, intelligence systems, to quantum computer resistant cryptography from now on to 2035 as much as possible. This will also drive all cryptocurrencies, bitcoin including, to implement quantum resistant algorithms. NIST PQC has launched the 3rd round algorithms which will be standardized, and an extra round specially for digital signature algorithms with shorter signature will be need to submit by June 1st of 2023. How to be quantum resistant to bitcoin? ethereum? and Defi, SocialFi, Web3, or Metaverse? What’s the future of cryptos?

主讲人介绍:

Mr. Jin Liu, the Chairman of Algorithm, Blockchain, Computing, & Mathematics Int’l Foundation (ABCMINT) a non-profit foundation, is mainly specialized in supporting research and application of post quantum cryptography algorithms globally. it supports some qualified teams worldwide to replace current elliptical curve digital signature algorithms with quantum resistant ones.

通过本次活动可以学习到:

  1. The 10th National Security Memorandum from White House
  2. Quantum secure algorithms of NISTPQC projects
  3. Three kinds of PQC digital signatures: Lattice-based, Hash-based digsign, Multivariate.
  4. What bitcoin will take action to be quantum secure? Switch PoW to PoS?

活动安排

活动时间

2022年7月30日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2022年7月31日(星期日)
9 AM (中国北京时间)

活动时间为1.5小时,包括70分钟主旨介绍加20分钟自由讨论。

报名方式

接入方式1:

扫码微信添加FinQ小助手加入FinQ微信群。

接入方式2:

Topic: FinQ Workshop 21: Intro to Post Quantum Cryptography
Time: Jul 30, 2022 21:00 Eastern Time (US and Canada)

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When: Saturday 2022-07-30 ⋅ 9pm – 11pm (Eastern Time – New York)

QC WORKSHOP 20: INTRO TO QUANTUM ERROR MITIGATION

In the Noisy Intermediate-Scale Quantum (NISQ) era, we are limited by the number of qubits, coherence time, and gate fidelity. While Quantum Error Correction (QEC) is on its way, we still want to get meaningful results from such noisy quantum devices. It naturally introduces the idea of Error Mitigation (EM), which aims at recovering the ideal measurement statistics instead of the ideal output state in QEC, as a transition stage toward the fault-tolerant regime.

主讲人介绍:

Zhixin Song is currently a Physics Ph.D. student at Georgia Institute of Technology. He has previously done an internship at Baidu Research, Institute for Quantum Computing, working on Variational Quantum Algorithms (VQAs) and a Quantum Machine Learning toolkit called Paddle Quantum. His current research focuses on experimental quantum simulation, optimal quantum control, and quantum many-body systems.

通过本次活动可以学习到:

  1. Different types of quantum noise
  2. Error mitigation (EM) methods including Zero Noise Extrapolation (ZNE), Probabilistic Error Cancellation (PEC), and Dynamical Decoupling (DD)
  3. Error mitigation and Variational Quantum Algorithms
  4. Connection with classical shadows
  5. Recent experimental progress

活动安排

活动时间

2022年7月16日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2022年7月17日(星期日)
9 AM (中国北京时间)

活动时间为1小时,包括40分钟主旨介绍加20分钟自由讨论。

报名方式

接入方式1:

扫码微信添加FinQ小助手加入FinQ微信群。

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Topic: FinQ Workshop 19: Intro to Superconducting Qubits
Time: Jun 4, 2022 21:00 Eastern Time (US and Canada)

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When: Saturday 2022-07-16 ⋅ 9pm – 10pm (Eastern Time – New York)

QC WORKSHOP 19: Intro to Superconducting Qubits

In the community of superconducting qubit, Transmon is the most popular style of choice. It is easy to understand, fabricate and control. Many famous companies, i.e. Google, IBM and Rigetti all use Transmon. However, it’s lifetime is typically limited to be below 100 μs.

主讲人介绍:

Dr. Haozhi Wang is a postdoctoral researcher at Laboratory for Physical Sciences in College Park, MD, under supervision of Dr. Ben Palmer, working on superconducting qubits and the loss channels that limits the lifetime and coherence time of qubits. His research interests include quasiparticle loss mitigation by superconducting gap engineering, quantum limited amplifier, multimode coupling in cQED.

通过本次活动可以学习到:

  1. Transom qubits, design, fabrication, and measurement
  2. Challenge in superconducting quantum computing
  3. Different approaches in the field towards superconducting quantum computer

活动安排

活动时间

2022年6月4日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2022年6月5日(星期日)
9 AM (中国北京时间)

活动时间为1小时,包括40分钟主旨介绍加20分钟自由讨论。

报名方式

接入方式1:

扫码微信添加FinQ小助手加入FinQ微信群获取报名链接。

接入方式2:

Topic: FinQ Workshop 19: Intro to Superconducting Qubits
Time: Jun 4, 2022 21:00 Eastern Time (US and Canada)

Join Zoom Meeting
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QC WORKSHOP 17: INTRO TO GLOBAL QUANTUM ECOSYSTEM

在过去的几年里,世界范围内对量子技术(计算)热情极大增长。全球的公共和私人资金纷纷涌向这个领域。在第二次量子革命中,这是一个激动人心的时刻。本次讲座将主要介绍全球量子计算领域的生态概况,包括政策、投资、技术、应用、合作等方面。

主讲人介绍: Xinwen Wang is a Quantum Ecological Engineer at TuringQ(图灵量子) – the first photonic quantum computing company in China. His interests include quantum optimization, quantum computing, and industry quantum computing applications. He received his PhD degree in Theoretical Physics from Baylor University in May 2017. Before he joined TuringQ, he was a Network Security Engineer at Alibaba.

通过本次活动可以学习到:

  1. 量子计算产业生态
  2. 量子计算投资情况
  3. 量子计算技术路线
  4. 量子计算产业应用

活动安排

活动时间

2022年3月26日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2022年3月27日(星期日)
9 AM (中国北京时间)

活动时间为1小时,包括40分钟主旨介绍加20分钟自由讨论。

报名方式

接入方式1:

扫码微信添加FinQ小助手加入FinQ微信群获取报名链接。

接入方式2:

Topic: FinQ Lecture Series – 17

Time: Sat, March 26, 2022, 21:00 America/New_York(GMT-5:00)

Join from a PC, Mac, iPad, iPhone or Android device:

Please click this URL to start or join.

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QC workshop 15: Intro to quantum simulation (2022/01/22)

量子模拟是利用可控的量子系统去模拟待研究的量子系统,它可以作为一种有效的实验手段用于研究经典计算机难以计算的问题和实验条件无法观测的现象。量子模拟是量子计算最具潜力的方向之一。本次讲座将主要介绍量子模拟的基础知识、相关背景、可能应用以及相关算法和实现。

主讲人介绍: Qi Zhao is a QuICS Hartree Postdoctoral Fellow in quantum information science at the University of Maryland. His research interests include quantum simulation, quantum computing, quantum resource theory, and self-testing quantum information. He received his bachelor’s degree and PhD degree from Tsinghua University in 2014 and 2018, respectively. Then he became a research associate at the University of Science and Technology of China from Jan. 2019 to Oct. 2019.

通过本次活动可以学习到:

  1. 什么是量子模拟
  2. 量子模拟的应用
  3. 量子模拟算法
    • 变分法量子模拟算法
    • 数字量子模拟算法
  4. 未来展望

活动安排

活动时间

2022年1月22日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2022年1月23日(星期日)
10 AM (中国北京时间)

活动时间为1小时,包括40分钟主旨介绍加20分钟自由讨论。

接入方式 1: 加FinQ小助手微信号,注明参加讲座活动进入微信群,及时获取FinQ未来活动讯息。

接入方式2:

Topic: FinQ Lecture Series – 15
Time: Jan 22, 2022 21:00 Eastern Time (US and Canada)

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FinQ Quantum Algorithm Journal Club

Having a huge algorithm knowledge reservoir is crucial to scientists trying to develop new algorithms or apply algorithms to real-world problems. The goal of this journal club is to supercharge the algorithm knowledge of participating members. 

Format:

Each session will include a 25-minute presentation followed by a 20-minute discussion. Each presentation should cover the “what, how, why” aspects of the algorithm: what does the algorithm do; How does the algorithm work; why is this algorithm in any sense better than its classical counterpart. Such three aspects should be introduced in an intuitive but self-consistent approach. Mathematical rigorousness is not required.

All the participants will take turns (signup-based) presenting papers. For our first-round cohort, we limit our discussion group to 12 people for effective communication. We will close registration once the limit is reached.

The first two sessions will be held by our core members Daiwei Zhu and Yue Sun. Time to be determined and will be announced to participating members. Register now if you are interested!

Registration link & QR Code:

https://wj.qq.com/s2/9348956/7153/

Scan the following QR code to join our WeChat group for more events! (Please add friend request: Journal Club)

QC WORKSHOP 13: INTRO TO Quantum control (2021/11/06)

本次 workshop 我们邀请到南方科技大学的曾俊凯老师介绍量子控制与优化相关技术。通过量子控制,我们可以有效地操纵量子系统并为所需要的行为创建控制手段。量子控制关注经典世界如何与量子设备相互作用,它指导研究人员通过测量获取有关量子系统的信息,并在计算、传感和测量方面实现有用的性能。专注于量子控制的主要公司有:澳大利亚的Q-CTRL和英国的Cambridge Quantum

了解更多详情请点击: https://q-ctrl.com/foundations/quantum-control/

演讲者简介:
Junkai Zeng,博士毕业于Virginia Tech,曾在量子科技领域初创公司Q-CTRL就职,现在深圳南方科技大学任Research AP。

通过本次活动可以学习到:

  1. 什么是量子控制,为什么我们需要量子控制。
  2. 量子控制与优化的基本概念:噪声与退相干,闭环与开环。
  3. 量子控制与优化的技术手段:动力学解耦,动力学门,数值方法,
  4. 量子控制软件以及相关技术问题。
  5. 量子控制的相关的研究方向与进展。

活动安排

活动时间

2021年11月6日(星期六)
7 PM(美国西部时间)
10 PM (美国东部时间)


2021年11月7日(星期日)
10AM (中国北京时间)

接入方式 1: 加FinQ小助手微信号,注明参加讲座活动进入微信群,及时获取FinQ未来活动讯息。

接入方式2:

Topic: FinQ Quantum Lecture: Quantum Control
Time: Nov 6, 2021 22:00 Eastern Time (US and Canada)

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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)

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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/