- The world’s first quantum error correction chip
Application specific integrated circuit (ASIC) chip is critical to scaling quantum computers to their full potential
- The world’s most powerful quantum decoder
Balances speed, accuracy, power and cost requirements creating a practical route to 'fault tolerant' quantum computing
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. To achieve this we’re solving the quantum error correction problem across all quantum computing technologies.
Quantum Error Correction is the key to unlocking quantum computing’s incredible potential
Today’s quantum computers have limited capabilities because their fundamental building block, qubits, are highly error prone. This leads to system failure after just a few hundred quantum operations. Quantum computing’s extraordinary potential will only be realised when we build machines capable of at least one trillion error free quantum operations, or ‘TeraQuOps’. This is known as 'fault tolerant' quantum computing.
It’s not enough to simply build quantum computers with more and better qubits. Unlocking the full spectrum of quantum computing applications 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 the Quantum Error Correction Stack.
Riverlane’s Quantum Error Correction Stack, which we call Deltaflow, controls unstable qubits and corrects data errors in a continuous cycle.
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 most powerful 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.
Error-free quantum chemistry edges closer in new experiment
In a new paper, Statistical Phase Estimation and Error Mitigation on a Superconducting Quantum Processor, published in PRX Quantum, our team tested a promising quantum algorithm on a real quantum processor.
Riverlane publishes new research testing quantum algorithm on real quantum processor
The research focuses on Quantum Phase Estimation (QPE), a key algorithm with potential applications in chemistry and solid-state calculations on future quantum computers. By modifying QPE on a real-world quantum processor, Riverlane's team explores the algorithm's adaptability for early fault-tolerant devices.
NQCC, Rolls-Royce and Riverlane partner to accelerate materials discovery
Riverlane is partnering with Rolls-Royce to build computational tools to simulate large, complex materials on a quantum computer. The project also involves working with the National Quantum Computing Centre (NQCC) to engage with other industry leaders exploring quantum computing use cases across their sectors and business models.
Engineering Quantum Error Correction: How our no-code low power compression unlocks fault tolerant operations
This invention from the team at Riverlane leapfrogs the design phase by tackling one of the hardest-problems in quantum control in a no-code fashion.