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Riverlane

Quantum software platform for fault-tolerant control

Quantum Error Correction Researcher - qLDPC

AI ResearchConfirmed live in the last 24 hours
Part-timeCambridge, UK

About the Job

Requirements

  • A PhD in mathematics, physics, computer science, or a related technical field, or equivalent professional experience.
  • Knowledge of at least one programming language; Python and/or C++ is preferred.
  • Experience in quantum computing.
  • Experience with quantum low-density parity-check (qLDPC) codes.

Responsibilities

  • Build deep expertise in quantum computing and quantum error correction, particularly focused on atomic, molecular, and optical (AMO) qubits.
  • Explore existing and develop new quantum error correction protocols independently and creatively.
  • Work with hardware partners to develop and optimize quantum error correction protocols for their hardware.
  • Write code to test scientific ideas and contribute to software-focused products.
  • Share expertise and collaborate with other teams to guide development of various parts of the company's products.
  • Write papers and present work at conferences.

Desired Qualifications

  • Experience in quantum algorithm compilation.
  • Experience with one or more qubit modalities.

About the Company

Riverlane

Quantum software platform for fault-tolerant control

Riverlane builds software to make quantum computers practical. It develops Deltaflow.OS, a universal operating system that runs on quantum hardware and manages real-time error detection and correction, providing a common software layer across different hardware platforms. This enables control of quantum devices and coordination of error-correcting processes, a key step toward scalable, fault-tolerant quantum computers. Riverlane differentiates itself by focusing on quantum error correction and hardware-agnostic software infrastructure, positioning Deltaflow.OS at the core of the quantum computing stack. The company collaborates with hardware developers, national laboratories, and governments to accelerate the move from experimental quantum devices to reliable, scalable machines.

Company size
201-500
Company stage
Grant
Total funding
$131.5M
Headquarters
Cambridge, United Kingdom
Founded
2016

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