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Cambridge Quantum Firm Launches Project to Accelerate Error Correction

Riverlane partners with IQM and Zurich Instruments to build a real-time quantum computing platform.

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Cambridge-based quantum computing firm Riverlane has announced the launch of the SurgeonQ project, a collaboration with Finnish quantum computer manufacturer IQM and specialist control systems provider Zurich Instruments. The project aims to develop the first quantum computing platform capable of running multiple real-time quantum error correction (QEC) operations – a crucial step towards unlocking the full potential of this emerging technology.

Quantum computers promise to revolutionise fields ranging from materials science and drug discovery to logistics and artificial intelligence. However, these machines are incredibly sensitive to errors, making QEC essential for reliable computation. Current QEC methods often struggle to balance the need for flexibility – the ability to run different experiments – with low latency, or speed. Most systems are restricted to a single, pre-defined operation to minimise delays, hindering research and development.

The SurgeonQ project tackles this trade-off by focusing on a well-established QEC technique called lattice surgery. This method encodes information using multiple physical qubits to create ‘logical qubits’, which are more resistant to errors. Lattice surgery allows for the merging and reshaping of these qubit clusters on a two-dimensional lattice, enabling complex operations.

Riverlane will contribute its QEC Stack Deltaflow technology, known for its efficiency and adaptability. IQM will supply a 20-qubit processor and provide expertise in superconducting quantum computing. Zurich Instruments will integrate its ‘Quantum Computing Control System’ to facilitate real-time communication between the processor and the QEC stack, a vital component for fast error correction.

The team hopes this platform represents a vital step towards creating commercially viable quantum computers capable of performing the trillions of operations needed to solve complex real-world problems.

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