A recent talk in conjunction with Microsoft and the economist on the 18th of October 2022 was aimed at the business of commercialising quantum computing. With speakers from Microsoft, IDC and the Economist, the panel discussed state-of-the-art Quantum Computing and what the field needs to progress towards solving more commercial problems such as Carbon Capture, Simulating molecules and various problems in everything from clean water to materials science. And understanding material science.
The panel discussed new quantum algorithms and the Quantum Zoo, where several algorithms already rely on a few fundamental principles, such as phase estimation and Quantum Fourier transform. Some algorithms can work within a month in the materials and chemical space, but Svore says there will be more algorithm development and that we should not just rely on those with PhDs in Quantum Physics. She says we need Subject Matter Experts paired with experts in quantum algorithms to enable the right development. Microsoft sees its platform as a place for Quantum innovation.
Krysta Svore spoke about her work with Goldman Sachs and how to see where there are practical quantum advantages in finance. Problems that could run within, say, one month. Applications like derivative pricing, with, say, a million qubits, can a Quantum algorithm using resource estimation run a reasonable time to guide their R&D. They want to understand where Quantum applications sit within their business.
No Time to Lose in Commercialising Quantum Computing
Heather West says there is no time to waste and that time to explore Quantum is now available. To start now, before more giant machines come along. Also, some workflows should be migrated to the cloud rather than on-prem solutions. Of course, Microsoft would like that cloud platform to be Azure and Azure Quantum. Get doing workflows on the cloud right now, as the future will be cloud-based innovation. Dip a toe in and get the first-mover advantage from Jason Palmer. The more we understand some of those use cases, the better. It is all about cross-pollination with much diversity to drive that progress. Are those challenging problems amenable to, for example, quantum-inspired solutions rather than quantum?
Getting Quantum Commercialized
Get the first working qubit and then scale; without mentioning numbers, millions of physical qubits could be needed to make something workable. Microsoft was previously working on developing topological qubits to “perfect” one qubit before scaling up the number of qubits. Obviously, the actual requirements depend on the application. Optimization problems can likely be applied much sooner, but materials science might require more scaling and development and, hence, be further out.
Dr. Krysta Svore is a distinguished engineer and VP of Quantum Software at Microsoft. She is passionate about empowering people and organizations worldwide with quantum computing and realizing a scaled quantum machine. Her team designs and delivers Azure Quantum, the most diverse cloud platform for quantum research and discovery. She is developing a comprehensive software stack for scalable quantum computing, including languages, compilers, and mappings to quantum hardware.
Dr Heather West, Research Manager IDC
Research manager, infrastructure systems platforms, and Technologies Group. Heather West, PhD, is an IDC’s Enterprise Infrastructure Practice research manager. In this role, she leads IDC’s research on quantum computing. Dr. West’s research coverage includes AI and enterprise infrastructure workloads. She also manages primary research projects focused on end-user purchasing plans for infrastructure products and adopting technologies shaping the infrastructure market.
Dr Jason Palmer, journalist at the Economist
Jason Palmer co-hosts our daily podcast “The Intelligence”. He joined The Economist as a science and technology correspondent in 2014 after a Knight Science Journalism Fellowship at MIT. Before that, he spent five years as a science and technology reporter for the BBC. A former physicist, he holds a PhD from Imperial College London.
