Most people are familiar with fault-tolerance even if they don’t realise it. I like to compare with how compact discs tolerate some mild scratching.
Earl is a world expert in quantum error correction with nearly two decades of experience in creating fresh design concepts for fault-tolerant quantum computing architectures. During his career, Earl has made significant contributions to quantum error correction, fault-tolerant quantum logic and compilation, and quantum algorithms--with 80+ publications and authoring the premier review on quantum error correction in Nature.
Career history
Senior Research Scientist (2020-2022), AWS
ESPRC Early Career Research Fellow and Senior Lecturer, University of Sheffield (2014 - 2021)
Postdoctoral Research Associate (2010-2015), Postdam University, Free University Berlin, University of Sheffield
Royal commission 1851 fellow (2008-2010), University College London
Qualifications
University of Oxford, PhD, Quantum Computing
Publications
A real-time, scalable, fast and highly resource efficient decoder for a quantum computer
Tangling schedules eases hardware connectivity requirements for quantum error correction
Statistical phase estimation and error mitigation on a superconducting quantum processor
Block-encoding structured matrices for data input in quantum computing
Mind the gap: Achieving a super-Grover quantum speedup by jumping to the end
Parallel window decoding enables scalable fault tolerant quantum computation
All publications - Google scholar
Patents
- Simultaneous measurement of commuting operators (CN 202080055174.1, EP 20761301.9, JP 2022-508521, US 17/634,527)
- Quantum computing decoder and associated methods (US 17/932,837, US 18/410,972, PCT/GB2023/052393)
- Measuring quantum operators (GB 2309349.5, PCT/GB2023/051977)
- Quantum decoder (GB 2309501.1, PCT/GB2023/051978)
Media
Latest updates
View the latest updates from Earl below.
How to develop the Quantum Error Correction Stack for every qubit
QEC23: Six key takeaways on the state of quantum error correction
Parallelisation opens window to useful quantum computers for the first time
Introducing the Riverlane Roadmap: Three basic steps to decoder success
New quantum decoders challenge beliefs around quantum error correction
What is a TeraQuop decoder?
Mind the gap! New algorithm speeds up the quantum computations
QCTIP 2023 - Six scientific takeaways
Latest research
View the latest research from Earl below.
Explore more
View biographies for other Riverlane team members.
