What happens when quantum computing startups can’t wait 15 years for fault tolerance? Richard Murray, co-founder and CEO of Orca Computing, reveals how his team chose commercial usefulness over technical idealism - and why that decision drives everything from recruitment to product development. Operating from a University of Oxford spinout with limited resources compared to Google or IBM, Orca faced a choice: follow the same path but years behind and millions of pounds short, or constra...
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What happens when quantum computing startups can’t wait 15 years for fault tolerance? Richard Murray, co-founder and CEO of Orca Computing, reveals how his team chose commercial usefulness over technical idealism - and why that decision drives everything from recruitment to product development. Operating from a University of Oxford spinout with limited resources compared to Google or IBM, Orca faced a choice: follow the same path but years behind and millions of pounds short, or constra...
How to Scale Chemical Engineering Startups | Peter J. Nieuwenhuizen PhD
Lab to Market Leadership with Chris Reichhelm
53 minutes
9 months ago
How to Scale Chemical Engineering Startups | Peter J. Nieuwenhuizen PhD
The road from lab to market for chemical engineering startups is anything but smooth. In this episode of Lab to Market Leadership, Chris Reichhelm talks to Peter J. Nieuwenhuizen PhD, a chemical industry veteran and former CTO of AkzoNobel and Enerkem, and Board chair of Itaconix Plc., about the brutal realities of scaling chemical engineering technologies. Peter shares the inside scoop on how regulation, scaling challenges, and securing funding play out in the chemical sector. Plus, he discu...
Lab to Market Leadership with Chris Reichhelm
What happens when quantum computing startups can’t wait 15 years for fault tolerance? Richard Murray, co-founder and CEO of Orca Computing, reveals how his team chose commercial usefulness over technical idealism - and why that decision drives everything from recruitment to product development. Operating from a University of Oxford spinout with limited resources compared to Google or IBM, Orca faced a choice: follow the same path but years behind and millions of pounds short, or constra...
