We want to build the best, highest-performance quantum computers, all while making processors available to clients so that they can experiment with quantum and find potential benefits to their organizations. Achieving this goal requires a new way of thinking about hardware development methodology. By Markus Brink.
This journey has taught our team that we must experiment with new ideas, toss the ones that don’t work, implement the ones that do work, and integrate them all into the stable devices that we offer our clients – all at the same time. We’re excited to present the results of this agile hardware methodology and more at this year’s APS March Meeting, the largest physics conference in the world – and give insight into how this methodology works, below.
The article then reads about:
- Agile hardware development to advance metrics in parallel
- Combining engineering with research for the future of quantum
We leverage agile practices to incorporate relevant technology elements into earlier families where there is a potential performance benefit. The hardware goes through several stages of vetting to verify yield and performance prior to deploying into the system. We don’t expect every chip to meet the performance characteristics we might expect, so it’s paramount that we also engineer a screening practice to efficiently select only the best devices to move forward. We set a high bar for our understanding and characterization of the chips so that we feel confident putting our stamp of approval on its abilities.
Developing an entirely new kind of computer processor certainly isn’t easy. We’re proud to see our team leading the way to realize quantum computing. Interesting read!
[Read More]