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RedWave Labs

2 Projects, page 1 of 1
  • Funder: UK Research and Innovation Project Code: EP/S023607/1
    Funder Contribution: 6,242,250 GBP

    Quantum Technologies (QT) are at a pivotal moment with major global efforts underway to translate quantum information science into new products that promise disruptive impact across a wide variety of sectors from communications, imaging, sensing, metrology, simulation, to computation and security. Our world-leading Centre for Doctoral Training in Quantum Engineering will evolve to be a vital component of a thriving quantum UK ecosystem, training not just highly-skilled employees, but the CEOs and CTOs of the future QT companies that will define the field. Due to the excellence of its basic science, and through investment by the national QT programme, the UK has positioned itself at the forefront of global developments. There have been very recent major [billion-dollar] investments world-wide, notably in the US, China and Europe, both from government and leading technology companies. There has also been an explosion in the number of start-up companies in the area, both in the UK and internationally. Thus, competition in this field has increased dramatically. PhD trained experts are being recruited aggressively, by both large and small firms, signalling a rapidly growing need. The supply of globally competitive talent is perhaps the biggest challenge for the UK in maintaining its leading position in QT. The new CDT will address this challenge by providing a vital source of highly-trained scientists, engineers and innovators, thus making it possible to anchor an outstanding QT sector here, and therefore ensure that UK QT delivers long-term economic and societal benefits. Recognizing the nature of the skills need is vital: QT opportunities will be at the doctoral or postdoctoral level, largely in start-ups or small interdisciplinary teams in larger organizations. With our partners we have identified the key skills our graduates need, in addition to core technical skills: interdisciplinary teamwork, leadership in large and small groups, collaborative research, an entrepreneurial mind-set, agility of thought across diverse disciplines, and management of complex projects, including systems engineering. These factors show that a new type of graduate training is needed, far from the standard PhD model. A cohort-based approach is essential. In addition to lectures, there will be seminars, labs, research and peer-to-peer learning. There will be interdisciplinary and grand challenge team projects, co-created and co-delivered with industry partners, developing a variety of important team skills. Innovation, leadership and entrepreneurship activities will be embedded from day one. At all times, our programme will maximize the benefits of a cohort-based approach. In the past two years particularly, the QT landscape has transformed, and our proposed programme, with inputs from our partners, has been designed to reflect this. Our training and research programme has evolved and broadened from our highly successful current CDT to include the challenging interplay of noisy quantum hardware and new quantum software, applied to all three QT priorities: communications; computing & simulation; and sensing, imaging & metrology. Our programme will be founded on Bristol's outstanding activity in quantum information, computation and photonics, together with world-class expertise in science and engineering in areas surrounding this core. In addition, our programme will benefit from close links to Bristol's unique local innovation environment including the visionary Quantum Technology Enterprise Centre, a fellowship programme and Skills Hub run in partnership with Cranfield University's Bettany Centre in the School of Management, as well as internationally recognised incubators/accelerators SetSquared, EngineShed, UnitDX and the recently announced £43m Quantum Technology Innovation Centre. This will all be linked within Bristol's planned £300m Temple Quarter Enterprise Campus, placing the CDT at the centre of a thriving quantum ecosystem.

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  • Funder: UK Research and Innovation Project Code: EP/T001046/1
    Funder Contribution: 28,537,600 GBP

    The Quantum Technology Hub in Sensors and Timing, a collaboration between 7 universities, NPL, BGS and industry, will bring disruptive new capability to real world applications with high economic and societal impact to the UK. The unique properties of QT sensors will enable radical innovations in Geophysics, Health Care, Timing Applications and Navigation. Our established industry partnerships bring a focus to our research work that enable sensors to be customised to the needs of each application. The total long term economic impact could amount to ~10% of GDP. Gravity sensors can see beneath the surface of the ground to identify buried structures that result in enormous cost to construction projects ranging from rail infrastructure, or sink holes, to brownfield site developments. Similarly they can identify oil resources and magma flows. To be of practical value, gravity sensors must be able to make rapid measurements in challenging environments. Operation from airborne platforms, such as drones, will greatly reduce the cost of deployment and bring inaccessible locations within reach. Mapping brain activity in patients with dementia or schizophrenia, particularly when they are able to move around and perform tasks which stimulate brain function, will help early diagnosis and speed the development of new treatments. Existing brain imaging systems are large and unwieldy; it is particularly difficult to use them with children where a better understanding of epilepsy or brain injury would be of enormous benefit. The systems we will develop will be used initially for patients moving freely in shielded rooms but will eventually be capable of operation in less specialised environments. A new generation of QT based magnetometers, manufactured in the UK, will enable these advances. Precision timing is essential to many systems that we take for granted, including communications and radar. Ultra-precise oscillators, in a field deployable package, will enable radar systems to identify small slow-moving targets such as drones which are currently difficult to detect, bringing greater safety to airports and other sensitive locations. Our world is highly dependent on precise navigation. Although originally developed for defence, our civil infrastructure is critically reliant on GNSS. The ability to fix one's location underground, underwater, inside buildings or when satellite signals are deliberately disrupted can be greatly enhanced using QT sensing. Making Inertial Navigation Systems more robust and using novel techniques such as gravity map matching will alleviate many of these problems. In order to achieve all this, we will drive advanced physics research aimed at small, low power operation and translate it into engineered packages to bring systems of unparalleled capability within the reach of practical applications. Applied research will bring out their ability to deliver huge societal and economic benefit. By continuing to work with a cohort of industry partners, we will help establish a complete ecosystem for QT exploitation, with global reach but firmly rooted in the UK. These goals can only be met by combining the expertise of scientists and engineers across a broad spectrum of capability. The ability to engineer devices that can be deployed in challenging environments requires contributions from physics electronic engineering and materials science. The design of systems that possess the necessary characteristics for specific applications requires understanding from civil and electronic engineering, neuroscience and a wide range of stakeholders in the supply chain. The outputs from a sensor is of little value without the ability to translate raw data into actionable information: data analysis and AI skills are needed here. The research activities of the hub are designed to connect and develop these skills in a coordinated fashion such that the impact on our economy is accelerated.

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