Unlocking discovery with quantum machine learning



Recent Insight
  • Quantum Outlook 2020 – video briefing
    What’s happening with quantum technology in 2020? Watch this video briefing on key developments across quantum hardware, quantum algorithms, quantum software, quantum safe cryptography, quantum imaging, sensing & timing. Updates on key companies and key national and regional programmes.  Read the full Quantum Outlook 2020 collection 2020 will ... read more
    Source: Fact Based Insight – prepare for tomorrowJanuary 21, 2020
  • Quantum Outlook 2020
    2020 will be a watershed year for the Quantum Revolution. There will be surprising early applications, though previously over-hyped timelines may leave some disappointed. Geopolitical considerations will be hard to ignore as major national programmes set out their stalls. The chill winds of a quantum winter may threaten some, but ... read more
    Source: Fact Based Insight – prepare for tomorrowDecember 16, 2019
  • Quantum Algorithms Outlook 2020
    Contrary to many reports there are set be immediate applications even for early devices. Some will be controversial. However in other areas timelines look over-hyped. 2020 will be a key year to prove the naysayers wrong. Will clients see early value? Despite all the fuss, quantum processors actually run more ... read more
    Source: Fact Based Insight – prepare for tomorrowDecember 16, 2019
Latest News
  • The future of pharmaceuticals is Quantum Machine Learning – Quantum.Tech interview with Rahko CEO
    by Richard Wordsworth for Quantum.Tech.  It’s not an unfamiliar story: a small team of academics working in something quantum-related spinning out from their university to capitalise on their combined knowledge. Rahko, however, isn’t the culmination of decades of researching, lecturing and professorships in academia. A product of University College London’s ... read more
    Source: Rahko – news & blogFebruary 13, 2020
  • Machine Learning in the Quantum Era
    Figure source: arXiv:1910.07596   November, 2019  Machine Learning aims at automatically identifying structures and patterns in large data sets. In order to identify these patterns, algorithms often resort to standard linear algebra routines such as matrix inversion or eigenvalue decomposition. For example, support vector machines, one of the most successful ... read more
    Source: Rahko – news & blogNovember 14, 2019
  • Introducing Hyrax – the Quantum Discovery Framework
    Nov, 2019 For the past two years, Rahko researchers have developed Hyrax, a framework for developing and deploying quantum machine learning algorithms. Hyrax uses a proprietary HPC pipeline for the integration of quantum and classical hardware, and is hardware agnostic, integrating with leading quantum computers.  With an easy-to-use high-level Python ... read more
    Source: Rahko – news & blogNovember 12, 2019
  • Where will the first big gains in quantum computing be?
    As CEO of a fast-growing quantum software startup, I am often asked this question. Current quantum computers are far from where we need them to be for practical applications due to their high level of ‘noise’ (errors). If we cannot find a way to use these current and near-term ... read more
    Source: Rahko – news & blogNovember 11, 2019
  • Rahko welcomes an A-team of investors
    September, 2019  We are thrilled to announce the close of a £1.3m seed investment round with a very unique group of investors.    Our lead investor is Balderton Capital, Europe’s leading venture capital firm. Also participating is venture capital firm AI Seed, and a small group of angel investors including ... read more
    Source: Rahko – news & blogOctober 31, 2019
  • Advances in Quantum Machine Learning
    October, 2019  Rahko’s Chief Science Officer Ed Grant recently spoke at the London Quantum Meetup on the current state of and outlook for quantum machine learning. Topics covered include: A brief introduction to quantum computing Noisy intermediate scale quantum (‘NISQ’) computers  Primer on machine learning  Quantum machine learning State of ... read more
    Source: Rahko – news & blogOctober 31, 2019
  • Quantum Supremacy and the next milestones in quantum computing
    October 2019  Quantum Supremacy, and a pathway to the practical future of quantum computing with machine learning   Last week, Google published a long-awaited paper as a cover story for Nature, announcing that it had achieved “Quantum Supremacy”, where Google’s quantum computer Sycamore solved a problem in 200 seconds that ... read more
    Source: Rahko – news & blogOctober 31, 2019
  • Rahko CEO Leonard Wossnig awarded 2019 Google Fellowship for Quantum Computing
    April, 2019  Google’s PhD Fellowship Program recognises and supports outstanding graduate students doing exceptional research in Computer Science and related fields. Rahko CEO Leonard Wossnig was awarded a 2019 Google Fellowship for his exemplary research in quantum computing. He is the first UCL PhD student to be awarded the prize ... read more
    Source: Rahko – news & blogOctober 31, 2019
  • Rahko joins the Microsoft Quantum Network
    February, 2019  Rahko is thrilled to join the Microsoft Quantum Network (MQN), which was formally launched at the inaugural Microsoft Quantum Startup Summit.  The MQN is a coalition of many of the world’s leading academic, industry and startup teams that are working in partnership to build the quantum workforce and ... read more
    Source: Rahko – news & blogOctober 27, 2019
Project Description

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

Project Details
  • Startup: Rahko
  • Founded: 2018
  • Capabilities: Quantum machine learning
  • Home: rahko.ai
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