📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Scalable Qubit Array Detection for Rydberg Quantum Computers

Lead Participant: RIVERLANE LTD

Abstract

This project focuses on improving the computational power of quantum computers. These new types of computers, based on building blocks called qubits, will be able to simulate new materials and medicines, optimize logistics and finance, and solve other problems that are too complex for classical computers to handle. However, current quantum computers are not yet powerful enough to perform such tasks -- the number of qubits needs to grow to tens of thousands and beyond, together with the optical and electronic systems needed to perform operations with qubits and read the results.

In this project, three leading companies from Canada and the UK -- Nuvu Cameras, Infleqtion and Riverlane -- will collaborate to develop systems to greatly improve the readout of the status of a particular type of qubits: arrays of individual atoms. Illuminated by laser pulses, these atoms respond by shining light of different colour or intensity depending on their status. An effective way to read the qubits is thus based on high performing cameras that take pictures of such arrays. These cameras must be highly sensitive, to precisely determine the status of each qubit, and rapidly send the collected images to the control electronics, to allow execution of quantum operations at speed.

Nuvu Cameras has already developed cameras providing high-fidelity detection at speed of arrays containing up to 256 qubits. These cameras must scale to enable high-speed readout of larger arrays, such as the 1225 qubit systems demonstrated by Infleqtion. Moreover, tight integration between Nuvu's cameras and Infleqtion's electronics managing the quantum computer must be realised to ensure fast data transfer. Riverlane is developing quantum error correction solutions that transform qubits affected by noise into reliable qubits able to execute complex operations. Riverlane's solutions will connect to both Nuvu's cameras and Infleqtion's system, demonstrating how to improve qubit accuracy at speed on a neutral-atom quantum platform.

The partnership between Infleqtion, Nuvu and Riverlane will allow for collaborative development in this area of the quantum computing supply chain, helping Nuvu to develop cameras targeting the next generation of QCs, Riverlane to develop and deploy their versatile QEC stack adaptable to existing control system solutions and Infleqtion to validate the necessary hardware control layer. Together, this will enable the continued long-term growth of neutral atom quantum computing.

Lead Participant

Project Cost

Grant Offer

RIVERLANE LTD £323,408 £ 226,386
 

Participant

NUVU CAMERAS INC.
COLDQUANTA UK LIMITED £331,022 £ 198,613

Publications

10 25 50