Pioneering quantum software

Taking quantum from theory into practice

Creating a world-leading quantum simulation engine

Riverlane is a research-led start-up that develops software and algorithms for quantum computers. Backed by leading venture capital funds and the University of Cambridge, our mission is to bring the discovery of materials and drugs into a new computational era.

We’re building a simulation engine for microscopic systems to replace expensive laboratory tests with computer simulation. In collaboration with leading academics and cutting-edge companies, we are developing two early use cases for our software: the design of new battery materials and new drugs.

With a cross-disciplinary team of world leading researchers in computational chemistry, mathematics, and physics, we will take quantum computing from theory into practice.

Uncertainty flare

Working at riverlane

If you want to help develop world-leading quantum software, and you have a background in computational chemistry, mathematics, physics, computer science or quantum information, we’d love to hear from you. Visit our Careers page for details on open roles.

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Team working on whiteboard

We collaborate with some of the world leaders in quantum computing

Oxford Quantum Circuits University of Cambridge Openfermion
Dividiti University of Bristol Rigetti
23 Oct 2019

Riverlane featured in The Guardian

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13 Jun 2019

Quantum computing software developer Riverlane secures £3.25m funding

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@RiverLane_io

Our CEO Steve Brierley describes how to make quantum computers useful in @TheEngineerUK https://t.co/8cnIrl05tA

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@RiverLane_io

RT @TheLabArtist: Science peeps! - last chance if you want to add your signature to the STEM Cow #sciart sculpture at the signing event in…

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@RiverLane_io

It's deadline day! Last chance to submit a contributed talk to #QCTIP2020 -- we've seen great submissions already! Find out more here https://t.co/bV4tjcnsF6. Programme Committee: Iordanis Kerenidis, @andrewmchilds @AAmbainis @earltcampbell Elham Kashefi, Stacey Jeffrey et al.

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