Within this backdrop, we were lucky enough to come across the team at Rahko.
Leo, Ed, Miriam and Ian have gathered a small but world-class team in London. They are taking unique approaches towards unlocking quantum discovery for chemical simulation, with techniques rooted in quantum machine learning that don’t require fully error-corrected quantum computers.
Their goal on the product side is to build a robust quantum chemistry platform that provides best-in-class toolboxes for running quantum algorithms. Their work cuts across an entire spectrum: from deploying classical machine learning techniques and quantum-inspired methods on classical computers to hybrid approaches using both classical and noisy intermediate-scale quantum computers (so-called “NISQ” devices), and in time techniques that will utilize quantum computers exclusively
Here at Balderton, we couldn't be more proud to be working with the entire team at Rahko and are looking forward to growing and learning together in the years to come.
If you’re building something exciting in quantum computing, in either software or hardware, please don’t hesitate to get in touch.
Read the news of the announcement in Techcrunch.