Quantum Technology Access Programme
Quantum Technology Access Programme
The Quantum Technology Access Programme aims to demonstrate the potential of quantum technology, raise awareness, educate end users, and foster industry partnerships to drive the future adoption and commercialisation of quantum computing by exploring potential quantum computing use cases. The programme offers industries the opportunity to bridge the gap between quantum computing’s complex concepts and practical industry applications.
Programme participants will gain a competitive advantage through the programme, unlocking the future benefits and applications of quantum computing for their industry. The programme provides participants with the opportunity to upskill their workforce, build valuable partnerships and drive innovation.
Digital Catapult’s Quantum Technology Access Programme (QTAP) is part of a wider Innovate UK Industry Strategy Challenge Fund (ISCF) funded project called Quantum Data Centre of the Future which aims to embed a quantum computer within a classical data centre to explore real world access to a quantum computer.
The promise of quantum computing
The UK Research & Innovation (UKRI) estimates that the market impact of applications for quantum computing will be between £20 and £35 billion by 2027, which greatly contributes to the relevance and importance of delivering the Quantum Data Centre of the Future Technology Access Programme.
Quantum computing is set to revolutionise the technologies as we know them and bring immense economic and societal benefits in the next decade, impacting a wide range of industries. They can provide a transformative impact on cost saving and empowering businesses to create and design products that exceed expectations.
There are still some tasks our present “classical” computers can’t handle well. Finding a room temperature superconductor would help solve the world’s energy problems, yet research is blocked, in part, because classical computers can’t simulate quantum systems with many entangled particles. Medical research also suffers because classical computers can’t simulate large molecules and protein folding accurately. Optimisation and machine learning algorithms are sometimes limited by classical computing resource constraints. In the future all these difficult problems will be solved by quantum computers, leveraging their fundamentally different computing paradigm.
Some quantum algorithms require large, universal quantum computers, with thousands of error corrected qubits, and won’t be available for decades. Fortunately, there are other algorithms which promise to solve certain problems more cheaply and easily on quantum computers in the near future.
The quantum computing team at Digital Catapult is working with our industrial partners to separate the opportunities from the hype, and understand the specific problems that may be best solved on a quantum computer in the near future. We help our partners become “quantum ready” to reap the benefits of quantum computing, with future use cases including optimisation, simulation of physical systems and machine learning.
The quantum data centre
There has been little research in how quantum technologies can integrate with our existing data centres. We are working to develop a blueprint for a quantum/classical hybrid data centre with experts in classical data centres, networking, quantum computing and quantum communications.
If you have any questions or would like to speak to use please email us at [email protected]
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Quantum Computing Technologist
Daniel has a Masters in Quantum Technology at University College, London, and researched Quantum Error Correction Codes. He has experience of working with quantum annealing and photonic computers, as well as the standard quantum circuit model. He has a good understanding of algorithms for the NISQ and the fault tolerant era. He is particularly interested in quantum machine learning. Daniel also has extensive experience of leading teams to design, build, test, cut over, and operate global ERP IT systems. This has given him an excellent understanding of the key elements of a successful IT implementation. He has a deep knowledge of technical and process architecture and has worked in key integration roles on large and complex projects. Daniel also has a good appreciation of finance, gained from qualifying as a Chartered Accountant at Ernst & Young, and then working as a European Financial Controller for a technology firm earlier in his career. He studied Physics at Jesus College, Cambridge.