Riverlane's mission is to make quantum computing useful far sooner than previously imaginable, starting an era of human progress as significant as the industrial and digital revolutions.
Error correction is the key to unlocking quantum computing's full potential
Today’s quantum computers have limited capabilities because their fundamental building block, qubits, are highly error prone.
It’s not enough to simply build quantum computers with more and better qubits. Unlocking the full spectrum of quantum computing application requires new hardware and software tools to control inherently unstable qubits and comprehensively correct system errors ten billion times or more per second.
Riverlane designs and engineers such tools. We implement them with leading quantum computer makers using every type of qubit. We call this toolkit Deltaflow.OS.
Deltaflow.Control manipulates the quantum states of qubits to store information and perform calculations. It's designed for maximum speed and precision to enable practical quantum error correction.
Deltaflow.Decode is the world's first scalable decoder for detecting quantum errors. We work with quantum computer makers to prototype, simulate and implement our decoder on their hardware.
We collaborate with a wide range of technology and academic partners to solve the chemistry, physics, computing and engineering challenges to enable quantum computing to achieve its vast potential.
Building a large and reliable quantum computer is perhaps the most complex challenge mankind has yet tackled. Our team is uniquely built for this pioneering task.
Leading scientists and theorists from many fields collaborate with engineers who have successfully built the Mars rover, the Large Hadron Supercollider at CERN and the chips in our smartphones, to name but a few. What powers us forward is our open culture and common mission.
New quantum algorithms pave the way for materials research on error-corrected quantum computers
Working with researchers from Johnson-Matthey Technology Centre, we developed a new quantum algorithm to simulate the catalysts used in many industrial chemical processes.
Opening the gates to scalable quantum computing
In a recent research paper, I worked with two academic researchers to propose a novel approach to design two-qubit gates that are simpler, faster and more resource efficient than previous proposals.
Riverlane Raises £15m Series B to Advance Useful Quantum Computing
The round was led by Molten Ventures and included participation from simulation, high-performance computing (HPC), and artificial intelligence leader Altair and returning investors Cambridge Innovation Capital (CIC), Amadeus Capital Partners and the National Security Strategic Investment Fund (NSSIF).
A new way to prepare qubits for quantum error correction
A fault-tolerant quantum computer needs a fast decoder and a steady supply of high-quality |0⟩ states for syndrome extraction. A recent paper introduces a novel way to reduce errors in the preparation of these |0⟩ states.
We collaborate with companies and labs that build quantum computers, and work with enterprise companies to enable use cases for the technology.