There continues to be a problem with the race to build a quantum computer, which is why practices in those areas can be remarkably error-prone.
Rahko is the latest U.K. startup that believes it can approach this problem with what is identified as “Quantum machine learning.”
More Information About The Investment
It has now raised £1.3 million ($1.6 million) in a seed round headed by Balderton Capital. This is a rare move for a VC that usually only comes in at a Series A level.
Entering the round is:
- AI Seed and angel investors Charles Songhurst who is former Microsoft head of Corporate Strategy
- Tom McInerney the founder, TGM Ventures
- John Spindler the CEO of Capital Enterprise
- James Field CEO of LabGenius.
The Story of Rahko
Rahko states it is developing “quantum discovery” abilities for chemical simulation, which can allow groundbreaking advances in batteries, chemicals, high-level materials and drugs.
It was originated by co-founders Leonard Wossnig, Edward Grant, Miriam Cha and Ian Horobin.
Leo and Ed were longtime partners through their PhDs at University College in London.
They had been striving on research in quantum machine learning (QML).
Moreover, the lead developers of this company are Shuxiang Cao and Hongxiang Chen.
They say the QML program brought close attention from a tech giant and offers were made.
Leo and Ed made a choice not to give away the authority of the sum of their work and chose instead to start a business to advertise it.
Chemical simulation is an essential ability for research that has not developed significantly in recent years due to the limited computational skill of classical computers.
Rahko insists it has an armoury of tools that may create quantum computers available and commercially useful at an accelerated pace.
Rahko is one of the many startups arising from UCL’s Computer Science programme, backed by Conception X, a venture developer for deep tech startups.
It runs in partnership with various of the world’s biggest quantum hardware manufacturers, leading educational teams and national laboratories.
The whole quantum computing industry is relying on quantum hardware growing to a scale that will get great, commercially valuable applications.
It is expected that this will be in three-five years.
Till this occurs, it is a little early to say definitively, who is leading the race.
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