unlocking discovery with
quantum machine learning 


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

Leonard Wossnig

Chief Executive Officer and Co-founder

Edward Grant

Chief Science Officer and Co-founder

Miriam Cha

Chief Operating Officer and Co-founder

Ian Horobin

Executive Chairman and Co-founder

Shuxiang Cao

Quantum Software Engineer

Hongxiang Chen

Quantum Software Engineer

Jules Tilly

Research Scientist

Dr George Booth

Reader in Theoretical Physics, Kings College London

Prof Jonathan Tennyson

Professor of Physics, UCL / Chief Scientist, Quantemol / Founder, ExoMol

Prof Mike Payne

Chair of Computational Physics, University of Cambridge

Peter Mountney

CEO, Odin Vision / Royal Society and UCL Entrepreneur in Residence

John Spindler

CEO, Capital Enterprise / CEO, AI Seed

Andy Martyn

Former CTO, Omnicision


  • New Journal of Physics

    Modelling non-markovian quantum processes with recurrent neural networks

    View Publication
  • New Journal of Physics

    Adversarial quantum circuit learning for pure state approximation

    View Publication
  • npj Quantum Information - Nature

    Hierarchical quantum classifiers

    View Publication
  • arXiv

    Generative training of quantum Boltzmann machines with hidden units

    View Publication

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