Quantum Computing Education - Workforce Development

Be responsible for your own professional development journey.

2020 marked the launch of a decade of explosive growth for the enterprise quantum computing market. This disruptive technological innovation is projected to reach $9.1B in annual revenue by 2030 (vs. $260M in 2020). Although, global quantum technology research reports reveal near-term trends with the potential to disrupt global commerce, the quantum workforce is not yet established to meet the anticipated demand for this important industry of the future.

Our new flagship Quantum Computing Education - Workforce Development Program is designed to empower our community of lifelong learners with quantum technology industry knowledge for global impact. At IEEE, we are dedicated to advancing technology for the benefit of humanity through educational activities. We aim to serve professionals involved in all aspects of science and technology that underlie modern civilization.

2021 Program Portfolio

 

Upcoming Courses

Bringing a Quantum Computer to Life with RF Pulses: Fundamental Aspects of Pulse Level Control
Wednesday, 10 March 2021 at 9am ET

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Abstract
The qubits in a quantum computer, once they are assembled in place and ready to operate, are inert and in their ground state. To execute a quantum circuit, we must send an intricate and complex sequence of pulses and perform measurements that will determine the state of the qubits. All of this is accomplished using the quantum hardware controller. In this class, we will see how the hardware controller fits into the quantum stack, provide examples on how various quantum gates are translated to pulses, and discuss the evolution of the quantum hardware controller from its roots using lab test equipment into the sophisticated machines that are being built and used today. In particular, we will focus on the OPX, the unique controller offered by quantum machines. Then, we will discuss: (1) the various design and architecture challenges that go into building quantum hardware controllers and (2) why it is essential (a) to build an entirely new classical processing architecture from the ground up in order to maximize the potential of the quantum hardware controller and (b) to create specialized programming languages for pulse level control. We will also demonstrate an example with a particular pulse language named: QUA.

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. Lior Ella, Research and Product Team Leader, Quantum Machines

Dr. Lior EllaLior is a physicist with extensive experience in the development of quantum devices and techniques. He holds advanced degrees in both electrical engineering and in physics. He is currently a research and product team leader at Quantum Machines, working on system, product and architecture engineering of the next generation of quantum hardware controllers.

 

 

Implications of Quantum Technologies for Cybersecurity
Wednesday, 17 March 2021 at 10am ET

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Abstract
Coming Soon

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. Troels Steenstrup Jensen, Leader of the KPMG Global Quantum Technology Hub

Dr. Troels Steenstrup JensenTroels is Head of Machine Learning and Quantum Technologies at KPMG Denmark and head of KPMG's Global Quantum Hub. He has a PhD in theoretical quantum mathematics and works at the intersection of mathematics, statistics, physics, computer science and business. He has been working with Machine Learning for more than 10 years and with Quantum Technologies for more than 3 years. Troels has a deep passion for technology and for bringing theory to practice - seeing technology solutions come to life at clients is his main driver. He combines a strong theoretical foundation with business understanding and pragmatic solution design in order to create value for clients.

 

 

Quantum Computing 101: Introduction to Quantum Computing for Non-Technical Learners
Wednesday, 31 March 2021 at 12pm ET

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Abstract
Quantum computers could create new industries because of their unique ability to generate extraordinary power that speeds up certain types of complex calculations of great importance in a way that is simply not possible with today’s ordinary computers. They are a more powerful type of computer because they are designed to drastically improve information processing power by taking advantage of special properties of quantum mechanics. This class is designed to introduce quantum computing to non-technical learners who want to have massive quantum fun while learning about this important technology. Register today if you are planning for a career in quantum computing or if you are simply curious about quantum computing because it could shape our future.

Instructor
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Maeva GhondaMaëva Ghonda is a scientist with the unique ability to explain complex information in a manner that is easy to understand. Maëva fell for her true love -- Quantum -- while working as Quantum Scholar for the Joint Quantum Institute (JQI) for a National Institute of Standards and Technology (NIST) Fellow. She began to discover what is possible with quantum -- i.e. Quantum Teleportation and Quantum Money -- while reading intricate details of novel quantum-enabled inventions hidden in global patent documents to uncover valuable quantum technology innovations. Before this fantastic quantum meet-cute, Maëva was an engineer in aerospace where she worked on the production of the 3D printed parts for the autonomous CST-100 Starliner for NASA’s Commercial Crew Program. Moreover, she has also held cybersecurity risk management roles in healthcare and financial services. In addition to her passion for Quantum Computing and Quantum Cryptography, Maëva Ghonda is also quite obsessed with Quantum Teleportation and, of course, Quantum Money.

 

 

Overview of Quantum Machine Learning Algorithms
Wednesday, 14 April 2021 at 10am ET

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Abstract
Coming Soon

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. Troels Steenstrup Jensen, Leader of the KPMG Global Quantum Technology Hub

Dr. Troels Steenstrup JensenTroels is Head of Machine Learning and Quantum Technologies at KPMG Denmark and head of KPMG's Global Quantum Hub. He has a PhD in theoretical quantum mathematics and works at the intersection of mathematics, statistics, physics, computer science and business. He has been working with Machine Learning for more than 10 years and with Quantum Technologies for more than 3 years. Troels has a deep passion for technology and for bringing theory to practice - seeing technology solutions come to life at clients is his main driver. He combines a strong theoretical foundation with business understanding and pragmatic solution design in order to create value for clients.

 

 

A Hands-On Approach to Quantum Computing Learning - Coding with Q#
Wednesday, 5 May 2021 at 10am ET

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Abstract
Coming Soon

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. Kitty Y. M. Yeung, Microsoft Quantum, Sr. Program Manager

 

 

Quantum Engineering
Wednesday, 28 July 2021 at 12pm ET

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Abstract
Coming Soon

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. Peter McMahon, Assistant Professor, Cornell University School of Applied and Engineering Physics (AEP)

Dr. Peter McMahonPeter McMahon is an assistant professor of Applied and Engineering Physics at Cornell University. His research lab investigates how to harness physical systems to perform computations more energy-efficiently or faster (or both) than conventional computers. He works on both classical and quantum computing with a variety of platforms, including photonics and superconducting circuits. Peter received his Ph.D. from Stanford University in Electrical Engineering and performed his postdoctoral work at Stanford in Applied Physics before moving to Cornell. His is a CIFAR Azrieli Global Scholar in Quantum Information Science and won a Google Quantum Research Award in 2019.

 

 

Courses On-Demand

Fundamental Concepts in Quantum Error Correction
Wednesday, 24 February 2021 at 10am ET

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Abstract
The long-term vision of quantum computing relies on building systems that implement Quantum Error Correction (QEC), which enable computations to be robust to physical qubit errors. In this class, I will break down QEC into basic concepts that will help you grasp the ongoing research and development in the field. I will discuss why error correction is a necessity for scalable systems, what stabilizers are and how they detect and protect quantum states from error, the basics of error correcting codes such as the Surface Code, and how measurements are used to decode and remove quantum errors. I will not cover the basics of qubits, quantum circuits, or linear algebra, which you will need to get the most out of this course. On a personal level, I find QEC to be engaging for its mix of quantum circuit manipulation, computer science concepts, and fundamental quantum mechanics with deep implications on the future of quantum computing. Hopefully you will find QEC as fun as I do!

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. Julian Kelly, Research Scientist, Google AI Quantum

Dr. Julian KellyDr. Julian Kelly is a Research Scientist at Google AI Quantum. He is the lead for the System Control Team which is responsible for building the hardware and software to operate and manipulate Quantum Computers. He began his career in Quantum Computing in 2008 where he joined John Martinis' physics research group at UCSB as an undergraduate and researched qubit control and benchmarking techniques. Julian stayed at UCSB and completed his PhD in 2015 in experimental quantum computing. His thesis focused on the development of highly controllable, coherent, and scalable "Xmon" transmon systems that demonstrated record fidelity entangling gate and measurement operations, culminating in a demonstration of experimental quantum error correction. Since joining Google, Julian worked to improve, scale, and integrate quantum processors and was the lead designer for the 72 qubit Bristlecone processor. Julian also developed the automated calibration framework "optimus" which is a software backbone of operating quantum processors at Google. The above technologies were critical in the team's 2019 demonstration: "Quantum supremacy using a programmable superconducting processor.”

 

 

Quantum Systems Engineering for Scientists
Wednesday, 10 February 2021 at 4pm ET

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Abstract
Dr. Martinis would like to invite you to a talk on Quantum systems engineering for scientists. As the field of quantum Computing has advanced building complex machines it seems like a good time to talk about some of the organizational principles that one might use for such a large effort. System engineering concepts have been well developed for other technologies, so here he has focused on quantum computers. This special emphasis comes from the need for engineering discipline for the many physicists and scientists on the project who typically don't have an engineering background, so his talk will cover some basic principles. He will also discuss some of the unusual constraints that are found for quantum computers such as the inability to copy information and the large amount of information that is needed to control qubits. Here's an example of an interesting principle that scientists should know. Although the scientific method is the foundation of all technology, it is well-known that strictly following the scientific method for project management will cause failure so you will want to know why. This is an important subject for the field of Quantum Computing so please come and bring a lot of questions since Dr. Martinis would like to learn from you through active engagement.

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Dr. John Martinis, Physics Professor, UCSB

Dr. John MartinisJohn Martinis did pioneering experiments in superconducting qubits in the mid 1980’s for his PhD thesis. He has worked on a variety of low temperature device physics during his career, focusing on quantum computation since the late 1990s. He was awarded the London Prize in Low temperature physics in 2014 for his work in this field. From 2014 to 2020 he worked at Google to build a useful quantum computer, culminating in a quantum supremacy experiment in 2019.

 

 

Systems Engineering Approaches and Challenges in Quantum Computing
Wednesday, 20 January 2021 at 10am ET

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Abstract
NISQ era quantum computers can perform useful applications today. But, realizing the full potential of these systems will require both advances and close collaboration from a broad swath of science and engineering disciplines. Traditional systems engineering models, typically adapted from aerospace and defense industries, are often too prescriptive in defining requirements and use-cases. Furthermore, enterprise systems engineering methods and tools are often focused on how to best prepare an enterprise for change, not how to vector the development of specific systems that will disrupt enterprises. Systems engineering professionals need to consider augmenting best-practices while building lower TRL emerging technologies, such as quantum computing, that require more flexible planning. This course will address possible approaches and challenges, especially for systems with many potential use-cases of strategic interest.

Host
Maëva Ghonda, IEEE Chair, Quantum Computing Education for Workforce Development Program

Instructor
Will Madsen, Quantum Systems Engineering and Architecture Manager, Rigetti Computing

Will MadsenWill leads systems engineering and integration efforts within the technical organization at Rigetti Computing and manages its portfolio of Department of Defense (DOD) programs. Before joining Rigetti, Will was a Developmental Engineer for the United States Air Force where he led engineering teams in flight testing and space launch operations. He holds a BS in Systems Engineering from the US Air Force Academy.

 

 

The Quantum Computing Education - Workforce Development program is brought to you by:

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