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

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/

QUANTUM COMPUTING WORKSHOP – 11 (2021/08/28)

第十一次活动我们将请 University of Montpellier 的博士生 Siyuan Niu 同学介绍并讲解 IBM 推出的量子计算机编程开发者认证以及官方例题。该认证是目前全球唯一一个量子计算的认证项目。获得该认证表明已掌握了使用Qiskit的基础技能,这对于构建和运行量子程序来说至关重要。所有人都可以通过Qiskit对真正的量子计算硬件进行编程,只需要Python和基本的线性代数知识作为先决条件。

了解更多详情请点击:
https://www.ibm.com/certify/exam?id=C1000-112

演讲者简介:
Siyuan Niu received the B.S. degree in electronic and information engineering from Xidian University, China in 2018, M.S. degree in electronic engineering from Polytech Nice Sophia, France, in 2019.
She is currently a second-year Ph.D candidate in quantum computing from the University of Montpellier. Her research interests focus on quantum computer aided-design, quantum compiler, and quantum error mitigation.

通过本系列活动可以学习到:
1 如何使用Qiskit定义、执行、测量和可视化量子线路
2 如何实现单量子比特和多量子比特门,并理解它们对于量子线路的影响
3 如何创建、计算、执行和可视化量子线路的结果
4 理解线路深度、屏障、运算符、保真度等概念
5 如何区分和使用各类Qiskit后端模拟器,了解开放式量子汇编语言OpenQASM

活动安排

活动时间:
2021年8月28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:
Chandler Fang is inviting you to a scheduled Zoom meeting.

Topic: FinQ Workship 11 – IBM Qiskit
Time: Aug 28, 2021 10:00 AM Eastern Time (US and Canada)

Join Zoom Meeting
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Meeting ID: 882 3338 8156
Passcode: 106129
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+1 346 248 7799 US (Houston)
Meeting ID: 882 3338 8156
Passcode: 106129
Find your local number: https://us02web.zoom.us/u/kdLJvUtJWd

第三期「读报小组」:2分钟完成50亿年的计算量,量子计算能否成为未来新趋势?

2021年是风起云涌的一年,我们在不断地见证历史。最近世界形势多变,新冠疫情、Archegos Capital基金爆仓、以及中美关系等各大政治经济事件交汇,股市债市商品外汇各大市场高低起伏,我们更需要实时追踪市场,了解社会热点问题。

「读报小组」系列活动面向全体大众,每期会选择大家最关心的话题和全球时事,在主讲人的带领下在Zoom/Clubhouse进行线上互动讨论。每一位参与者都有机会通过这个平台获得行业中的最新资讯,交流思考感悟,结交志同道合的小伙伴。读报小组活动每3-4周展开一次,一共四期。

随着传统计算模式的增长正在趋近瓶颈,需要找到一个新的计算模式,来解决传统计算无法解决的问题。这个新的计算模式,就是量子计算。2019年10月,谷歌宣布实现量子霸权,2020年12月,中国量子计算原型机“九章”问世,2021年3月霍尼韦尔发布首台商用512量子体积量子计算机。那它究竟是如何工作的呢?目前该行业有哪些公司?在金融领域有何应用,前景如何?线上交流活动约60分钟,由嘉宾分享,现场提问及讨论组成,欢迎大家的加入!

本次活动将在Zoom进行,请点击右侧链接进行报名。活动开始前会发送Zoom链接至报名邮箱

针对这个话题,我们邀请以下四位嘉宾,他们均来自于 Finq Tech,一家专注于量子计算知识分享的组织。Yue,博士毕业于西北大学物理专业,现就职于某投行;px,博士毕业于马里兰大学物理专业,现就职于某科技公司;Leon,博士现就读于马里兰大学物理专业;Chandler,曾任职于硅谷某VC,参与多家量子计算初创公司投资。

活动时间:

美东时间7月17日晚上9:00-10:00pm

活动形式:

本次活动将在Zoom进行,请点击右侧链接进行报名。活动开始前会发送Zoom房间链接至报名邮箱

报名链接:

https://www.qishicpc.com/activities/profile/289/

报名截止日期:7月16日

QUANTUM COMPUTING WORKSHOP – 10 (2021/03/28)

第十次活动我们将请UMD Quics和NIST的博士Shangjie Guo同学讲解一下最近由Xanadu, Google,IBM Quantum,AWS, rigetti等公司举办的Qhack比赛题目,这次比赛是了解量子计算近期进展的很好的方式,可以通过实际练习的方式了解量子门的基本操作,Quantum Machine Learning, QAOA 以及 VQE的原理和实际应用, 并熟悉Xanadu提供的量子计算框架 Pennylane

想看一下具体题目请点这里。

https://github.com/XanaduAI/QHack/tree/main/QML_Challenges

通过本系列活动可以学习到:

1 量子门和量子电路的基本操作

2量子梯度算法和如何训练量子神经网络解决分类问题。

3如何利用QAOA解决图问题。

4如何利用VQE解决量子化学问题。

活动安排:

开始时间:

2021年3月28日
14时 (美国东部时间)
13时(美国中部时间)
11时(美国太平洋时间)

接入方式:

Chandler Fang is inviting you to a scheduled Zoom meeting.

Topic: Chandler Fang’s Personal Meeting Room

Join Zoom Meeting
https://us02web.zoom.us/j/8408189361?pwd=WlZyQUkrME9Qb1RnSkk3TFVjaHg0UT09

Meeting ID: 840 818 9361
Passcode: Finq
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Meeting ID: 840 818 9361
Passcode: 416271
Find your local number: https://us02web.zoom.us/u/kbjOWHSit1

QUANTUM COMPUTING WORKSHOP – 9 (2021/01/31)

活动介绍:

大家新年好!在新年的第一期量子计算讨论会,我们将延续上一次的内容,继续进行量子编程的实战演练。这一次,我们将以往届微软组织的量子编程比赛的题目为参考,对一些量子编程的题目进行实战编程,分析和讲解。

这次我们仍然会采取线上模式,届时还会有量子计算行业和初创企业的最新动态的讨论。敬请期待^_^

活动安排:

开始时间:

2021年1月31日
14时 (美国东部时间)
13时(美国中部时间)
11时(美国太平洋时间)

接入方式:

Chandler Fang is inviting you to a scheduled Zoom meeting.

Topic: Finq Workshop – 9
Time: Jan 31, 2021 02:00 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://us02web.zoom.us/j/8408189361?pwd=WlZyQUkrME9Qb1RnSkk3TFVjaHg0UT09

Meeting ID: 840 818 9361
Passcode: Finq
One tap mobile
+16465588656,,8408189361#,,,,416271# US (New York) +13126266799,,8408189361#,,,,416271# US (Chicago)

Dial by your location
+1 646 558 8656 US (New York)
+1 312 626 6799 US (Chicago)
+1 301 715 8592 US (Washington DC)
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 669 900 9128 US (San Jose)
Meeting ID: 840 818 9361
Passcode: 416271
Find your local number: https://us02web.zoom.us/u/kbjOWHSit1

内容提要:

  1. 活动开始前:
    • 阅读并尝试用Qiskit编写 Q# Coding Contest (2018 Warm-up) 的题目(见阅读材料)
  2. 量子计算初创企业介绍及行业最新动态(5 分钟)
  3. 量子计算编程实战演练(60 分钟)
    • 讨论交流编程题目

阅读材料:

QUANTUM COMPUTING WORKSHOP – 8 (2020/11/29)

活动介绍:

前面的讨论会我们分别了解了量子计算机的硬件实现原理以及基本算法的理论基础。从这一次开始,我们将开始动手实践,用程序编写一些实现量子算法的量子电路。我们会以Qiskit为主要工具,从基础的量子编程开始,由简单的量子算法逐渐深入到略复杂的算法,并逐步引入具体的应用。这一次,我们先来熟悉以下量子编程的环境,介绍基本量子门电路的实现,然后示例一些简单的算法。

这次我们仍然会采取线上模式,届时还会有量子计算行业和初创企业的最新动态的讨论。敬请期待^_^

活动安排:

开始时间:

2020年11月29日
14时 (美国东部时间)
13时(美国中部时间)
11时(美国太平洋时间)

接入方式请私信活动组织者

内容提要:

  1. 量子计算初创企业介绍及行业最新动态(15 分钟)
  2. 量子计算编程基础(60 分钟)
    • Qiskit量子开发环境简介
    • 量子编程的基本门电路
    • 简单量子编程示例

阅读材料:

IonQ Unveils World’s Most Powerful Quantum Computer

IonQ, the leader in quantum computing, today unveiled its next generation quantum computer system. The new hardware features 32 perfect qubits with low gate errors, giving it an expected quantum volume greater than 4,000,000.

The new system consists of perfect atomic clock qubits and random access all-to-all gate operations for efficient software compilation of applications. It will be first available via private beta, and then commercially available on Amazon Braket, where IonQ’s 11 qubit system is generally available for customers today, and Microsoft’s Azure Quantum. Pre-existing IonQ customers and partners, including 1QBit, Cambridge Quantum Computing, QC Ware, Zapata Computing and more are excited to experience the benefits of the new system, enabling them to drive towards the first wave of quantum applications.

The company’s trapped-ion quantum computers have a proven track record of outperforming all other available quantum hardware. With this new iteration, IonQ continues to lead the quantum computing field into the future. IonQ is already working on its next two generations of quantum computers, with each new system expected to be both exponentially more powerful and smaller in size than the last.

“In a single generation of hardware, we went from 11 to 32 qubits, and more importantly, improved the fidelity required to use all 32 qubits,” said IonQ CEO & President Peter Chapman. “Depending on the application, customers will need somewhere between 80 and 150 very high fidelity qubits and logic gates to see quantum advantage. Our goal is to double or more the number of qubits each year. With two new generations of hardware already in the works, companies not working with quantum now are at risk of falling behind.

“The technology underpinning IonQ’s new system is based on decades of proven research and advancements, and our unique architecture provides essential computational efficiencies as the system scales up,” said IonQ Co-Founder & CTO Jungsang Kim. “This cornerstone moment provides the foundation for IonQ to rapidly grow and continue to perfect our systems.”

“Demonstrating the first successful quantum logic gate in 1995 was almost an accident, but doing so opened a path forward towards deploying quantum computers on previously unsolvable problems,” said IonQ Co-Founder & Chief Scientist Chris Monroe. “The new system we’re deploying today is able to do things no other quantum computer has been able to achieve, and even more importantly, we know how to continue making these systems much more powerful moving forward.” One way is to fix errors through circuit encoding, capitalizing on a recent demonstration of quantum error correction in a nearly identical system. Monroe says “with our new IonQ system, we expect to be able to encode multiple qubits to tolerate errors, the holy grail for scaling quantum computers in the long haul.” This encoding requires just 13 qubits to make a near-perfect logical qubit, while in other hardware architectures it’s estimated to take more than 100,000.

“We design quantum machine learning algorithms to drive performance on near-term hardware,” said Iordanis Kerenidis, Head of Algorithms International, QC Ware. “We collaborated with IonQ in implementing QC Ware’s quantum classification algorithm on their system, and the excellent results attest to their unique approach and demonstrated performance.”

“IonQ and Zapata work together to create and implement quantum applications,” said Christopher Savoie, CEO & Founder, Zapata Computing. “We are excited to unlock new potential across industry verticals—and make IonQ’s latest generation of devices available to users of our software platform, Orquestra.”

“IonQ represents one of the most promising approaches to quantum computing that is both scalable and does not require any significant materials science or manufacturing breakthroughs,” said Francis Ho, Senior Vice President and Managing Director, Samsung Catalyst Fund. “The company’s unique combination of academic research and experience plus proven performance has led to their system demonstrating industry leading performance and helping break new ground in quantum computing.”

“We believe IonQ is the most promising and advanced technology for developing quantum computers at scale. This latest milestone represents decades of academic research and experience, proven performance, and superior technology,” said Alaa Halawa, Head of US Ventures, Mubadala Capital. “This latest breakthrough is also particularly exciting for industrial companies in areas of material science and petrochemicals, enabling new applications that are crucial for enhancing competitiveness in the market.”

“IonQ and Cambridge Quantum Computing are working together to create and implement applications for quantum computers, for the benefit of CQC’s customers, and are excited to see what new applications are possible with IonQ’s newest generation,” said Denise Ruffner, Chief Business Officer, Cambridge Quantum Computing.

“IonQ’s approach to quantum represents the most promising pathway to achieving commercial success with quantum computers – and this breakthrough in performance and fidelity further validates that approach,” said Hany Nada, Co-Founder & Partner, Acme Capital. “We are thrilled to continue working with the team to realize the full benefits of quantum.”

“IonQ and 1QBit are working together on applying quantum computers to solve previously intractable problems in a variety of industries and are excited to explore new possibilities resulting from the release of IonQ’s newest generation of devices,” said Arman Zaribafiyan, Head of Quantum Simulation, 1QBit.

IonQ has raised $84 million in funding, recently announcing new investment from Lockheed Martin, Robert Bosch Venture Capital GmbH (RBVC) and Cambium. Previous investors include Samsung Electronics, Mubadala Capital, GV, Amazon, and NEA. The company’s two co-founders were also recently named to the National Quantum Initiative Advisory Committee (NQIAC).

Media contact:

Faiz Mandviwalla
E: press@ionq.com

QUANTUM COMPUTING WORKSHOP – 6 (2020/08/30)

活动介绍:

前面几次讨论会我们讨论了量子计算机硬件实现的不同方法。这一次我们将重新回到量子算法的话题上,来讨论一下一类用于优化的量子算法 — 量子-经典混合的优化算法。由于这类算法对于硬件噪声的影响相较于一般的纯量子算法要好,其被认为是在近期非容错量子计算机上最有希望可以实现的算法之一。

这次我们仍然会采取线上模式,届时还会有量子计算行业和初创企业的最新动态的讨论,和会员风采环节。敬请期待^_^

活动安排:

开始时间:

2020年8月30日
14时 (美国东部时间)
13时(美国中部时间)
11时(美国太平洋时间)

接入方式请私信活动组织者

内容提要:

  1. 量子计算初创企业介绍及行业最新动态(15 分钟)
  2. 会员风采(10 分钟)
  3. 量子-经典混合优化算法(60 分钟)
    • 背景介绍
    • 变分量子本征值求解(VQE)
    • 量子近似优化算法(QAOA)
    • 量子-经典混合优化算法的硬件实现

阅读材料:

NSF establishes 3 new institutes to address critical challenges in quantum information science

Quantum phenomena have puzzled and delighted scientists for over a century, revealing unique, counter-intuitive characteristics of matter like superposition and entanglement. For four decades, the U.S. National Science Foundation has worked to enable breakthroughs in quantum information science and engineering that harness what researchers have learned about quantum phenomena to develop technologies like quantum computers, sensors, and communications. These quantum technologies will have enormous consequences for the national and global economy. To unleash that potential, researchers must overcome several major, fundamental challenges in quantum information science and engineering.

With these unresolved questions in mind, NSF launched the Quantum Leap Challenges Institutes program. And today, NSF, in partnership with the White House Office of Science and Technology Policy, is announcing $75 million for three new institutes designed to have a tangible impact in solving these problems over the next five years.

These institutes are a central piece of NSF’s response to key federal initiatives to advance quantum information science, including the National Quantum Initiative Act of 2018 and the White House’s ongoing focus on American leadership in emerging technologies. Quantum Leap Challenge Institutes also form the centerpiece of NSF’s Quantum Leap, an ongoing, agency-wide effort to enable quantum systems research and development.

“Quantum information science has the potential to change the world. But to realize that potential, we must first answer some fundamental research questions,” said NSF Director Sethuraman Panchanathan. “Through the Quantum Leap Challenge Institutes, NSF is making targeted investments. Within five years, we are confident these institutes can make tangible advances to help carry us into a true quantum revolution.”

“America’s future depends on our continued leadership in the most cutting-edge industries of tomorrow. With the announcement of three new quantum institutes, the Trump Administration is making a bold statement that the United States will remain the global home for QIS research. Our new Quantum Leap Challenge Institutes will advance America’s long history of breakthrough discoveries and generate critical advancements for years to come,” said Michael Kratsios, U.S. Chief Technology Officer.

NSF is establishing three institutes:

The institutes comprise an interconnected community of 16 core academic institutions, 8 national laboratories, and 22 industry partners. Through integrating the perspectives and resources of multiple disciplines and sectors, they promote a sustainable ecosystem for innovation. In addition to their research, these centers will also make strides in training and educating a diverse, quantum-ready U.S. workforce. They will develop new in-person and online curricula for students and teachers at all educational levels, from primary school to professionals.