While it has been known for some time that quantum computers could in principle solve problems that are intractable on today’s supercomputers such as breaking public key cryptography and solving hard computational chemistry problems, the field of quantum computing is still at an early stage. Recent progress in realizing small scale quantum computers is encouraging and these devices may scale up further in the near future. However, currently, only very few opportunities exist to bring quantum computing experts together with experts from other computer science fields with much to offer: programming languages, compiler design, computer architecture, and design automation in an exchange of ideas.
The historical increases in computing performance and reductions in power consumption, size, weight and cost of computing devices are ingrained in the fabric of the research community. These improvements have fueled innovation across scientific domains, health, industry, and government. But clock speeds have been relatively flat for over a decade and current transistor scaling will be reaching limits that are both technological and economic over the next decade. While alternative models of computation are being explored, including quantum and neuro-inspired, digital computing will remain the dominant computational technology for the foreseeable future.