Large scale quantum computers will generate terabytes of syndrome data every second that must be decoded as fast as it’s acquired to stop errors propagating and rendering calculations useless.
To tackle this challenge, we’ve created Deltaflow.Decode, the world's first scalable quantum error decoder. Customisable to each quantum computer maker's requirements, Deltaflow.Decode can be tightly integrated with any qubit control system to implement a complete high-speed quantum error correction cycle.
Deltaflow.Decode is the product of ground-breaking research by the world’s top experts in decoding, noise modelling and chip design.
Deltaflow.Decode can spot qubit errors quickly and accurately, and is designed to support the next generation of bigger and more powerful quantum computers.
We use a robust process and a powerful set of tools to create decoders tailored to each quantum computer maker’s hardware.
Using prototyping and simulation to validate the design at every step, we start by modelling the decoder in pure software, then move to software modelling of a decoder chip, before creating a physical chip and integrating it inside the quantum computer.
The result is a high-performance decoder that delivers significant improvements over existing state-of-the-art Union Find decoders that can process more syndrome data more accurately and more quickly using smaller and more power efficient devices.
Deltaflow.Decode vs Union Find
for a range of decoding tasks
with lower power consumption
Our world-leading team of researchers and engineers, led by our Chief Scientist Jake Taylor, have decades of combined experience in the design and implementation of high speed, high performance error correction solutions.
Our dedicated noise team, led by Hari Krovi, builds circuit level noise models for our partners' quantum computing hardware, enabling us to create powerful and efficient decoders tailored to their qubits.
Dr Earl Campbell
Head of Architecture
Earl is a world expert in quantum error correction with nearly two decades of experience fresh design concepts for fault-tolerant quantum computing architectures. He's made significant contributions to quantum error correction, fault-tolerant quantum logic and compilation and quantum algorithms. Before joining Riverlane Earl worked as a senior research scientist at Amazon Web Services and a senior lecturer at the University of Sheffield.
Dr Neil Gillespie
Head of Decoding
Neil is a mathematician with a passion for applying ideas and techniques from pure maths to real world scenarios. Neil completed his PhD in Mathematics from the University of Western Australia in 2011. After a post-doctoral position in Australia, he returned to the UK to join the Heilbronn Institute for Mathematical Research as a research fellow, based at the University of Bristol.
Dr Hari Krovi
Hari is a quantum information theorist with over 10 years' experience in quantum computing and communication. He holds a PhD in Electrical Engineering from the University of Southern California where he worked on quantum algorithms, complexity theory and quantum communications. More recently Hari has worked on quantum algorithms for differential equations, analysis of noise on quantum circuits and quantum tomography.
Senior Product Manager, Quantum Error Correction
Rossy has a background in AI and machine learning, working at the intersection of business, technology and user experience. She achieved a Master's degree in Quantitative Risk Management at Vrije University Amsterdam. Prior to joining Riverlane, Rossy worked as a lead data scientist at IBM where she became a quantum ambassador and mentor. She is the president of OneQuantum Vietnam, promoting quantum education to the local community.
Dr Ophelia Crawford
Senior Quantum Scientist
Ophelia holds a PhD in computational and theoretical geophysics from the University of Cambridge. Her work on applying PDE-constrained optimisation to post-glacial sea level change earnt her awards for the best paper from Geophysical Journal International and the best thesis from the Royal Astronomical Society. Since joining Riverlane in 2018 Ophelia has worked on understanding and developing algorithms for quantum computers.
Head of Silicon
Kauser is an engineer with over 12 years' experience in computer architecture, hardware design and development of high performance microprocessors. He holds a Masters in Microelectronics from the University of Liverpool, and pursued a career at ARM where he recently led the development of automotive CPUs. Notably, Kauser was instrumental in the development of a CPU for the Mars Exploration Rovers.