QC WORKSHOP 18: Quantum Simulation Using Atoms and Ions

在过去的二十年里,用于研究多体系统的量子模拟和计算方法发展出了两类互补的方案。自上而下的方案通过对多粒子体系进行全局相互作用来模拟匀质体系。自下而上的方案通过整合多个可被高精度控制的粒子来构建大型系统。本次报告将介绍属于自上而下方案的玻色-爱因斯坦凝聚体量子模拟系统和属于自下而上方案的离子阱量子计算系统。在介绍技术细节的基础上,我们将进一步讨论应用这些体系来研究多种物理问题。

Quantum Simulation and computation on many-body systems has branched to two complementary strategies over the last two decades. The top-down strategy uses ensembles of many particles with control over global interactions, where the granular details can be ignored and the ensemble can be treated as a smooth medium. The bottom-up strategy uses high-fidelity control over individual particles and builds large many-body systems by assembling them together. In this talk, I will talk about both approaches with Bose-Einstein condensates in the top-down approach and trapped ions in the bottom-up approach. Building on the interacting atomic quantum system, we will talk about investigating interesting physics ranging from condensed matter to cosmology, such as quantum phase transition, spin domain confinement, many-body localizations and even Unruh radiations.

主讲人介绍: Dr. Lei Feng works on quantum simulation and quantum computing at Duke University. His current postdoctoral research focuses on building a new generation of programmable quantum computing platform using trapped Yb ions. Lei got his Ph.D. in physics from the University of Chicago on quantum simulation using ultra-cold neutral atoms, where Bose-Einstein Condensation is used to study phase transitions and matter-wave radiations. He is also a winner of Sidney Nagel Prize for Creativity in Research and the OCPA Outstanding Dissertation Award.

活动安排

活动时间

2022年5月14日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2022年5月15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 – 18

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.

https://us02web.zoom.us/j/84626556280?pwd=aDN0c3B1b3A3M3NnRTdaS2xwSksxQT09

Meeting ID: 846 2655 6280
Passcode: 768376
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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.

https://us02web.zoom.us/j/88223513059?pwd=ZVFqUWxqNkM3aW5lVFd6elFSMzlLZz09

Or, go to https://us02web.zoom.us/join and enter meeting ID: 882 2351 3059 and password: 635188

QC Workshop 16: Case Study Winner Presentations

去年年末,我们组织了FinQ第一期量子计算案例研究活动。此次活动共有来自中国、美国和欧洲等地区的23位朋友报名参加,他们中有在校学生、学术界的学者、以及工业界有经验的从业者。经过为期8周的分组研究实践活动,以及最终的成果展示演讲,我们评选出了两组做为这次活动的获奖队伍。他们分别是:

最佳实践奖 / Best Practices Award (排名不分先后):

  • Jack Song
  • 赵翔
  • 敖敖

最佳创新奖 / Best Innovation Award (排名不分先后):

  • Mao Lin
  • Ke
  • Yiwen

获奖的每一位队员都获得了由FinQ颁发的获奖证书以及亚马逊礼品卡。

为了让更多的朋友可以欣赏到他们的优秀作品,我们经过获奖队伍的协商,决定公开展示他们的获奖演讲。

演讲1:2月19日 21:00(美东)/ 2月20日 10:00 (北京)– 最佳实践奖获奖团队
演讲2:2月26日 21:00 (美东)/ 2月27日 10:00 (北京)– 最佳创新奖获奖团队

报名方式

扫码微信添加FinQ小助手加入FinQ微信群获取报名链接。

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)

Join Zoom Meeting
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Meeting ID: 857 3197 0514
Passcode: 297911
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Meeting ID: 857 3197 0514
Passcode: 297911
Find your local number: https://us02web.zoom.us/u/keEjbOIQGR

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 14: Investment in Quantum computing company (2021/12/04-2021/12/05)

2021年,IonQ、Rigetti、HQS/CQC先后宣布上市计划,而在中国,本源量子、图灵量子等创业公司也完成了多轮融资。本次workshop我们邀请到BV(百度风投)的孙佳宁介绍中国量子计算创业公司的概况,并分享对于量子计算投资的理解。

通过本次活动可以学习到:
1.中国量子计算的支持政策
2.中国大型科技公司对于量子计算的布局
3.中国量子计算创业公司发展及融资概况
4.来自身处一线的投资人对于量子计算投资和中美量子计算发展的见解

演讲者简介

Jianing(Johnny) Sun,硕士毕业于Washington University in St. Louis,曾在百度、字节跳动担任高级产品经理,现在BV(百度风投)从事硬科技投资。

活动安排

2021年12月4日(星期六)
9 PM (美国东部时间)
6 PM (美国西部时间)

2021年12月5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。

This image has an empty alt attribute; its file name is mmqrcode1633874004498.jpg

接入方式2:

FinQ is inviting you to a scheduled Zoom meeting.

Topic: Investment in Quantum computing company
Time: Dec 4, 2021 09:00 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://us02web.zoom.us/j/81395726910?pwd=RUZ5aWtEMzU4aXMwK3VQMjZyZ2RuZz09

Meeting ID: 813 9572 6910
Passcode: 533433
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+1 312 626 6799 US (Chicago)
+1 646 558 8656 US (New York)
Meeting ID: 813 9572 6910
Passcode: 533433
Find your local number: https://us02web.zoom.us/u/klnsn2CQS

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)

Join Zoom Meeting
https://us02web.zoom.us/j/82380433756?pwd=UUVTcGhKZDdOWlZtNHIzeWgwQUkzZz09

Meeting ID: 823 8043 3756
Passcode: 352792
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+1 346 248 7799 US (Houston)
Meeting ID: 823 8043 3756
Passcode: 352792
Find your local number: https://us02web.zoom.us/u/kJVczSQJ0

FinQ Case Study Series #1

Aircraft Loading Optimisation with QUBO

Recently, Airbus announced their winner to The “Airbus Quantum Computing Challenge” (AQCC): the team Machine Learning Reply (MLR). In the fifth challenge — “Aircraft Loading Optimisation”, they formulated the problem and its constraints into cost functions in the form of Quadratic Unconstrained Binary Optimization (QUBO) problems. These cost functions are compatible with quantum annealers, as well as other hybrid classical-quantum optimization algorithms such as Quantum Approximate Optimization Algorithm (QAOA). Then they benchmarked the model on different solvers to evaluate the performances and capabilities of current technologies. 

In our case study, we will reimplement MLR’s approach in Python. Then, we can think of ways to improve their method, such as adding additional constraints and features. 

We expect that most participants would finish their assignments within 8 weeks, with a 4-hour weekly commitment and one 1-hour meeting biweekly. We will host an orientation / kick-off on October 16, 2021 and the session will conclude on December 11, 2021.

Participants would work together in groups of 3 or less. In this session, we plan to have a maximum of 3 groups.

How to register?

Registration details will be shared in WeChat group. Please add FinQ’s official account to join our WeChat groups.

What we will learn

  1. Case study a real industry operational optimization problem; 
  2. Understand and implement QUBO and quantum annealer;
  3. Participation in quantum coding development; 
  4. Drafting professional proof-of-concept reports for quantum technology.

Prerequisites: (should take <2 hours to learn all these)

  1. Basic Python: Numpy. (Knowledge of Qiskit recommended.)
  2. Basic linear algebra: Matrix multiplication, trace, partial trace etc.
  3. Basic graph theory: Nodes, edges etc.

Starting points:

Timeline:

  • October 16, 2021: Orientation / kick-off
  • Week 1-2: Reading materials, Q&A
  • Week 3-4: Implementation & iteration
  • Week 5-6: Brainstorming & adding features
  • Week 7-8: Review & report composing
  • December 11, 2021: Final presentation