quantum
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unlocking discovery with
quantum machine learning
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Rahko is unlocking discovery with quantum machine learning for chemical simulation
Rahko is one of the world’s most advanced teams in quantum machine learning.
With the Rahko quantum machine learning platform and a team comprising experts in quantum machine learning, quantum software and quantum hardware engineering, and quantum chemistry, Rahko is constantly breaking ground in quantum machine learning for quantum chemistry.
Rahko has a strong focus on solving real-world, commercially valuable problems, in partnership with several of the world’s largest quantum hardware manufacturers and with some of the world’s largest companies whose future capacity to compete depends on their capabilities in chemical simulation
Our Team

Lloyd Kelly
Research Scientist
Andy Martyn
Former CTO, OmnicisionResearch
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New Journal of Physics
Modelling non-markovian quantum processes with recurrent neural networks
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New Journal of Physics
Adversarial quantum circuit learning for pure state approximation
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Blog & News

Machine Learning in the Quantum Era
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Introducing Hyrax – the Quantum Discovery Framework
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Where will the first big gains in quantum computing be?
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Quantum Supremacy and the next milestones in quantum computing
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Advances in Quantum Machine Learning
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Rahko welcomes an A-team of investors
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Rahko CEO Leonard Wossnig awarded 2019 Google Fellowship for Quantum Computing
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Rahko joins the Microsoft Quantum Network
Read MoreCareers
Join our growing, multidisciplinary team.
Quantum Machine Learning Scientist
As Quantum Machine Learning Scientist, you will work on customer projects and internal research projects. You will contribute to the
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Theoretical / Computational Quantum Chemist
As Computational/Theoretical Quantum Chemist, you will work across customer projects and internal research projects. You will contribute to the development
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Interns
We are inviting applications for 3-6 month internships and industry placements in the following disciplines: Marketing and Communications Human Resources
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