Quantum machine learning, a field of research at the intersection of quantum computing and artificial intelligence, is poised to transform a wide range of industries by enabling faster, more accurate simulations of complex systems, from materials science and drug discovery to financial modelling and climate prediction. Yet, quantum machine learning remains a notoriously challenging and elusive field, requiring a unique blend of expertise in quantum computing, machine learning, and domain-specific knowledge.
Enter Rahko, one of the world’s most advanced teams in quantum machine learning, based in London, UK. Rahko’s mission is to make quantum machine learning more accessible and impactful, by developing a platform that leverages the power of quantum computers to simulate quantum chemistry problems, and partnering with leading quantum hardware manufacturers and industry partners to apply these simulations to real-world problems.
The Rahko Quantum Machine Learning Platform – Powering Quantum Chemistry Innovation
At the heart of Rahko’s technology is the Rahko Quantum Machine Learning Platform, a modular and scalable software suite that enables users to simulate and optimize quantum chemistry problems on real-world molecules, materials, and reactions. Rahko’s platform combines cutting-edge algorithms, such as Variational Quantum Eigensolver (VQE) and Quantum Monte Carlo (QMC), with a user-friendly and customizable interface that allows researchers and developers to configure and fine-tune simulations according to their needs and preferences.
The platform’s flexibility and versatility have enabled Rahko to collaborate with a wide range of industry partners across sectors, such as pharmaceuticals, energy, and materials science, to tackle challenges that were previously out of reach using classical computing methods. For example, Rahko has partnered with Seagate, a leading data storage company, to develop new types of magnetic materials that could enable denser and faster hard drives; with Eni, a major global energy company, to optimize the design of catalysts for biofuels production; and with National Grid, a UK-based utility, to model the behavior of batteries in energy storage systems.
The Rahko Team – A Quantum Dream Team
Behind the Rahko Quantum Machine Learning Platform is a team of world-class experts in quantum computing, machine learning, and chemistry, who are passionate about bridging the gap between theoretical research and practical applications. The team, led by CEO and co-founder Leonard Wossnig, a former postdoc at UCL and MIT, comprises a diverse group of researchers, engineers, and entrepreneurs who bring unique perspectives and strengths to the table.
For example, Rahko’s CTO and co-founder, Edward Grant, is a quantum software pioneer who has developed several foundational algorithms in quantum chemistry and collaborated with Google and IBM on quantum software development. Rahko’s Head of Hardware, Max St John, is a quantum hardware engineer who has designed and built superconducting qubits and control systems and has also worked with Google and Rigetti Computing. Rahko’s Head of Business Development, Bridget Kenyon, is a cybersecurity and risk management expert who has held leadership positions at Thales and UBS and is a recognised advocate for diversity and inclusion in technology.
Together, the Rahko team embodies a unique blend of technical excellence, creative thinking, and entrepreneurial spirit, and is poised to tackle some of the most pressing challenges facing humanity today with the help of quantum machine learning.
Rahko’s Achievements – A Trailblazing Story
Since its inception in 2018, Rahko has made significant strides in advancing the field of quantum machine learning and applying it to real-world problems. Here are some of Rahko’s achievements to date:
- Raised £1.3 million in seed funding from investors such as Balderton Capital, Seedcamp, and angel investors from the quantum and tech communities.
- Published several groundbreaking papers in top-tier scientific journals, such as Nature and Physical Review Research, showcasing the potential of quantum machine learning for simulating molecular properties and optimizing chemical reactions.
- Partnered with several leading quantum hardware manufacturers, such as Rigetti Computing, Cambridge Quantum Computing, and Quantum Motion, to test and validate the performance of their quantum computers and optimize their algorithms for real-world use cases.
- Collaborated with several industry partners, such as Eni, National Grid, Seagate, and others, to apply quantum machine learning to solve pressing problems in energy, materials science, and more.
Looking ahead, Rahko’s vision is to become the go-to platform for quantum machine learning in chemistry and beyond, and to help accelerate the discovery and optimization of new materials, drugs, and technologies that can benefit society and the environment.
Conclusion
Rahko is a startup that is at the forefront of a quantum revolution that promises to transform not only computing but also many other sectors, from healthcare to finance to climate change. With its unique combination of expertise in quantum computing, machine learning, and chemistry, Rahko is poised to make quantum machine learning more accessible and impactful, and to help tackle some of the world’s most pressing challenges through innovation and collaboration.
Website: https://rahko.ai/
Twitter: https://twitter.com/rahkoai
LinkedIn: https://in.linkedin.com/company/rahko
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