On the 21st of June 2023, Microsoft announced its roadmap for building its own quantum supercomputer, using the topological qubits the company’s researchers have been working on tirelessly for year.
Although there are still several milestones to be reached, Krysta Svore, Microsoft’s VP of advanced quantum development, in an interview with Techcrunch, said the company believes that it will take less than a decade to build a quantum supercomputer using these qubits that will be able to perform a reliable one million quantum operations per second. That’s the new measurement Microsoft is introducing as the overall industry aims to move beyond the current era of noisy intermediate-scale quantum (NISQ) computing.
“We think about our roadmap and the time to the quantum supercomputer in terms of years rather than decades,” Svore said.
Last year, Microsoft announced a major breakthrough when its team first highlighted its ability to create Majorana-based qubits. Majorana qubits have the advantage of being very stable relative to traditional techniques, but they are also extremely difficult to create. Microsoft made an early bet on this technology and now, a year after first announcing this milestone, the team is publishing a new peer-reviewed paper (in the American Physical Society’s Physical Review B) that establishes that it has indeed achieved this first milestone on its way to a quantum supercomputer. To get to this point, Microsoft showed results from more devices and far more data than a year ago when it first
“Today, we’re really at this foundational implementation level,” Svore said. We have noisy intermediate-scale quantum machines. They’re built around physical qubits and they’re not yet reliable enough to do something practical and advantageous in terms of something useful. For science or for the commercial industry. The next level we need to get to as an industry is the resilient level. We need to be able to operate not just with physical qubits but we need to take those physical qubits and put them into an error-correcting code and use them as a unit to serve as a logical qubit.” Svore argues that to reach this point, it’ll take a quantum computer that can perform those one million reliable quantum operations per second and a failure rate of one per trillion operations.
The next step now is to build hardware-protected qubits which will be less than 10 microns on a side and very fast, fast enough to perform one qubit operation in less than a microsecond. After that, the team plans to work on entangling these qubits and operate them through a process called braiding, a concept that has been discussed (mostly as a theory) since at least the early 2000s.
From there, it’s on to build a smaller multiqubit system and demonstrate a full quantum system.
This is an ambitious path, and given how long it took Microsoft to achieve even the first milestone, we’ll have to wait and see how well the team can now execute.
IonQ, IBM and other tech giants are working toward similar goals— but using more established methods for building their qubits — the race to move beyond the NISQ era is certainly heating up quickly.
In addition to sharing its roadmap, Microsoft also announced Azure Quantum Elements, its platform for accelerating scientific discovery by combining high-performance computing, AI and quantum, as well as Copilot for Azure Quantum, a specially trained AI model that can help scientists (and students) generate quantum-related calculations and simulation
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