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Quantum Computing: Future Paths to Commercialization
As researchers and tech businesses inch forward in their quest for quantum computing, one question is to what extent will quantum computing help and change businesses when the technology becomes available? We’ve been told that computational problems that are impossible for today’s computers will be easily solved by quantum computers of the future.
Quantum computers are very powerful for solving specific kinds of problems, but they aren’t general-purpose computers, and that means that much of today’s software won’t be easily moved to quantum computers once they are available, and it also means that many of today’s problems will continue to be solved by traditional computers.
IBM categorized potential QC applications/use cases into Algorithm Families, like ‘Scenario Simulation’ and ‘Optimization’, and then assigned a time horizon to indicate when in the future the use case might become viable. (See the diagram below)
McKinsey estimates that “until about 2030, quantum-computing use cases will have a hybrid operating model that is a cross between quantum and conventional high-performance computing. Beyond 2030, intense ongoing research by private companies and public institutions will remain vital to improve quantum hardware and enable more—and more complex—use cases. Six key factors—funding, accessibility, standardization, industry consortia, talent, and digital infrastructure—will determine the technology’s path to commercialization.”
