There is no question that quantum computing will be a technology that will spur breakthroughs in natural science, AI, and computational algorithms such as those used in finance. IBM, Google, Honeywell, and several startups are working hard to create the next generation of “supercomputers” based on universal quantum technology.
What exactly is quantum computing, how does it work, how do we teach it, how do we leverage it in education and research, and what will it take to achieve these quantum breakthroughs?
The purpose of this minitrack is to bring together educators and researchers who are working to bring quantum computing into the mainstream.
We are looking for reports that
improve our understanding of how to integrate quantum computing into business, machine learning, computer science, and applied mathematics university curriculums,
describe hands-on student experiences with the open-source Qiskit quantum software development kit, and
extend computational techniques for business, finance, and economics from classical to quantum systems.
I spoke this morning about quantum computing at #BCTECHSummit in Vancouver, British Columbia. Here are some of the points I emphasized:
The mainstream efforts including IBM Q are universal quantum computing systems with the eventual goal of full fault tolerance.
However, we believe “Quantum Advantage,” where we show significant improvement over classical methods and machines, may happen in the next decade, well before fault tolerance.
Don’t say “quantum computing will.” Say it “might.” Publish your results and your measurements.
Since May, 2016, IBM has hosted the IBM Q Experience, the most advanced and most widely used quantum cloud service. Over 100,000 users have executed close to 9 million quantum circuits. There is no charge for using the IBM Q Experience.
Qiskit is the most advanced open source framework for programming a quantum computer. It has components that provide high level user libraries, low level access, APIs for connecting to quantum computers and simulators, and new measurement tools for errors and performance.
Chemistry, AI, and cross-industry techniques such as Monte Carlo replacements are the areas that show great promise for the earliest Quantum Advantage examples.
The IBM Q Network is built around a worldwide collection of hubs, direct partnerships, academic memberships, and startups working accelerate educations and to find the earliest use cases that demonstrate Quantum Advantage.
Last week IBM Q published “Cramming More Power Into a Quantum Device” that discussed the whole-system Quantum Volume measurement, how we have doubled this every year since 2017, and how we believe there is headroom to continue at this pace.