As companies get into these new areas, they're shifting people over. There's a huge talent pool within industry and government today. We need to educate engineers and physicists who are already in the workforce and have to pivot. What can be done to close the talent gap? MIT xPRO is addressing the reality that on-campus students aren't the only people interested in learning about quantum information. Competition for talent between government and companies naturally leads to higher salaries for people with knowledge of quantum. We need well-trained personnel entering both government and industry careers. Q: What is the impact of the talent shortage?Ī: As with many advanced technologies, there's good and there's bad, but with quantum in particular, there are both tremendous opportunities and some serious national security concerns. We’ll also likely see a gradual emergence of courses oriented toward quantum engineering in the undergraduate curriculum.
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It'll probably start at the graduate level and with professional development courses, such as the MIT xPRO series I'm co-teaching. We may eventually need to define a new academic discipline.
On the talent supply side of quantum, we're training more and more people. We need to write the textbooks, develop its foundation and curricula. We want to ensure that MIT is synonymous with quantum engineering. That's where we are now with quantum.Īt MIT, we're working to address this very question: How do we define what quantum engineering is? In my opinion, quantum engineering bridges both science and engineering. Before a new technology goes mainstream, you don't necessarily have academic disciplines that target that specific technology. But at some point they got interested in quantum and, basically, the engineers learned some physics and the physicists learned some engineering. Q: How is quantum computing talent being developed today?Ī: Most of the people that we’d call quantum scientists and engineers are basically jacks-of-all trades who have been educated as physicists or engineers. The concern is not just how companies will keep their data secure in a future with quantum computers, but how the data they encrypt today will remain secure for decades to come. Many companies also have encrypted data that they need to keep secure. Even if you're not a “pure technology” company, you likely have a business model that depends on some of the areas that quantum will impact, such as optimization problems. Quantum is not the kind of technology that can simply be copied it’s different.
It's no surprise, for example, that Intel is a leader today in electronic computer chip manufacturing, because Intel and its early employees were there from the very beginning.
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If you're a blue-chip hardware or software corporation, and you want to be competitive in quantum computing in the future, then you’ve got to be in the game right now. It's definitely an employee's market right now.Ĭompanies are also jumping in. With all of these initiatives, there's a large increase in the number of positions in academia, government, and industry. Congress recently passed the National Quantum Initiative, authorizing more than $1.2 billion investment in quantum science and technology over the next five to 10 years. Q: What’s driving the high demand for talent in quantum computing?Ī: Quantum computing is transitioning from theory to practice, and there is a growing number of government programs supporting quantum information processing: The EU has a flagship, China has a substantial effort, as do England, Australia, Singapore, Canada, Sweden, Finland, and many more. Oliver is a principal investigator in the Engineering Quantum Systems Group at MIT and in the Quantum Information and Integrated Nanosystems Group at MIT Lincoln Laboratory. Oliver, a physics professor of the practice, associate director of the Research Laboratory of Electronics, and Lincoln Laboratory Fellow, is concerned about the current quantum computing talent shortage. Now, as the technology is beginning to move from theory into practice, a shortage of available talent looms as a potential inhibitor of the technology’s growth.
The dream scenario for quantum computing, when the concept was first proposed back in the 1980s, was to develop a system based on the principles of quantum mechanics that, for certain problems, could enable much faster computations than conventional computers.
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