To address really valuable problems, Quantum Computing machines must scale to 100k to millions of physical qubits. Machines of this size cannot be constructed monolithically - the roadmap to utility inevitably mandates a modular and networked architecture of processors that are woven together to form a larger, more powerful machine. This project directly tackles one of the most critical components of such a distributed quantum computer: the need for a highly efficient interface between qubits inside computing cores and the wider light-based quantum networking infrastructure. HyperIon will prove the significant aspects of a first-of-its-kind Qubit-Photon Interface (QPI) prototype, with a clear path towards a full system-level demonstrator and a clear path towards integration with commercial Quantum Processing Units (QPUs) and robust mass production. Led by Nu Quantum (NuQ), the project partners are the University of Sussex (UoS) Ion Trap research group, and Cisco providing independent end-user input and commercial exploitation support.A foundry subcontractor is assigned, bringing in specialist fabrication techniques suitable for mass-production. Project will demonstrate and deliver improvements over the current state-of-the-art in the domains of: **Performance (NuQ)**: single-ion QPI system capable of a 50x increase in entanglement rate together with state of art remote fidelity. **Path to QPI-QPU integration (UoS)**: innovative wafer-based trap for shuttling a qubit to a cavity-ion interaction zone, compatible with different vendors' subsystems. **Path to Manufacturability (NuQ-Subcontractor)**: foundry-compliant designs to allow large-scale manufacturing of ion-traps with integrated cavities The project directly supports the UK's leadership in this critical and emerging market of Quantum Networking to scale Quantum Computing by accelerating the progress of QPI development between Lead Nu Quantum and academic partner University of Sussex.

To develop a secure IT system capable of connecting different sensors and IT devices together to produce quality data to enable effective decision making.

Working with Network Rail, the project will deliver 21st Century station facilities, responding in a unified manner to the connectivity demands of four functional groups: security providers, operators, retailers and travellers. It will converge discrete, separate communications and mobile subsystems in a station to create a single, IP infrastructure to develop and test a holistic architecture called Stations as a Service (StaaS). StaaS empowers a step change, and provides an open archiecture needed to unlock future investment and innovation in the UK Rail Sector. StaaS delivering benefits from convergence of various systems & technologies: building management, Internet of Things and Big Data. It enables operators to move from closed systems & networks which have impacted the rail sector negatively to a co-operative shared structure. It creates a new management & commercial model for future stations and provides a blueprint to improve customer experience as data & its value becomes visible and exploitable. StaaS will support innovation in the four main stakeholder functions: security, real-time operations, commercial estate and passenger service innovation. The project will develop a StaaS architecture based on clear user-scenarios. The involvement formally of Abellio and the self-financing observer status of Network Rail and Scotrail provides the window of opportunity to develop and demo StaaS eco-systems. The project will be open and allow other UK SMEs to innovate on the StaaS platform ensuring the reference architecture is extensible.

The project will develop a Field Area Network FAN reference architecture for city management that supports and connects disparate data sets and data sources. FAN aims to use non proprietary, generic and open application program interfaces API, to add a truly local dimension to the popular ideas of Cloud and Big Data. The radical change in FAN is that compute, storage and network intelligence will be devolved to streetlevel. The compute capacity will be swappable to enable different services in different districts according to local priorities and policies. This challenges the dominance of Big City Management one size fits all, top down command and control systems. Currently, most city architectures collect a wealth of data sets and expect dashboards, city observatories and Big Data clouds to provide order and desired outcomes and behavioural change. However, not all data is of equal value. Removing data from its temporal and geographic context erodes value. Big Data or City Management solutions risk not delivering desired outcomes and could raise citizen security and privacy concerns. FAN aims to show that routine city service functions can be actioned instantaneously in local context and build an extended trust model. The project aims to create a reference architecture that has unique characteristics. These characteristics make it more extensible, resilient, robust and trustworthy than traditional city operating systems promoted. The FAN reference architecture is organized into five main layers 1 Sensors and networked devices to capture data, 2 The network enabling data collection and routing to distributed points, 3 Distributed data processing including local computing, storage and analytics, 4 Security and Privacy, and 5 Local applications and services. The FAN project will develop a coherent reference architecture and then a deployable plan for smart city infrastructure based around the principles of local action. It will ensure cross functionalities allow a numbers of city services to optimise and share cost. FAN architecture will allow both targeted operational services and wider public access services. There are 2 main phases. Phase 1. Feasibility Study scenario development, reference architecture, partner mapping and demo location. Phase 2 FAN Build and Demonstrate. This covers the build of the main FAN system and integration with legacy city systems and build of the FAN city services. This will then be demonstrated in an end to end system with operations and public applications. Example services include intelligent parking, physical security, active travel, traffic flow, smart lighting, waste management, and air and noise monitoring. The project challenges conventional thinking on Big Data and City Management developing a variant reference architecture that can cope with legacy technologies, topologies and logical networks. The approach has potential for wider deployment in other UK cities and globally.

Covergence between data & power networks will completely change power networks within 5 years enabled by by a) public policy imperitives b) emergence of new power transfer and management protocols and c) the roll out of smart meters and grids requiring “smart loads”. Light is one of the highest fixed power needs in public buildings and industry The advent of light powered, connected, and controlled by digital networks opens a new spectrum of innovation and capability to manage smart loads and reduce costs. LaaS will be used in this project as a testbed to demonstrate the Internet-of-Things in power networks and the evolution to a smart grid and network load. It brings together existing technologies, emerging standards and policy obligations to create a new power service. LaaS will develop & integrate protocols, test them in hardware devices, demonstrate the solution in-situ and enable a “smart load” to exploit smart grids. The new protocols will address current constrictions on digital power by addressing kw capacity, distance limitations, lumens rendered, big data interfaces and load analytics. LaaS will be self-aware and open to new backend devices & front-end consumers.

What is RAPTOR? Building on Living PlanIT’s Urban Operating System (UOS ) and supported by Cisco and Infusion, the project will develop an open digital platform, supporting the development and integration of applications for the built environment.It will enable the development of a digital ecosystem for services, drawing on and augmenting 'smart urban environment' solutions. It will provide connectivity, interoperability and access to and secure manipulation of data and facilitate the robust provision of billing and support services.It will establish prototype commercial offerings in exemplar market sectors: retail & transportation, in turn developing models for revenue disbursement and the demonstration for roll-out across other sectors. A wider project user group, including SMEs, developers of smart cities/buildings, energy and care digital services, will be established rapidly to expand beyond the exemplars and encourage cross-sector value chain service development. Why do we need RAPTOR? There is currently no value chain, market place, development environment or application platform that links supply with demand. The RAPTOR project will address this challenge by providing both a shared technical development environment and application platform on which innovation can be unleashed. The partnership will be outward focused, allowing new SMEs to develop & deploy retail and transport applications using the platform. A key challenge facing SMEs is characterised by the barriers to open innovation and collaboration with large scale players infrastructure owners and local government. The RAPTOR project addresses this challenge by bringing together representatives of two innovation ecosystems, in the context of a physical enterprise centre on the Greenwich Peninsular. What is the UOS? UOS software has two main functions: Firstly, it allows a router to replace traditional building controllers, which are normally single-purpose devices. A wide range of sensors and actuators, supplied by Living PlanIT and its partners, communicate over IPv6 and allow a complete picture of building state, usage, and operations to be continually maintained, allowing constant optimization of energy, resources, environment, and occupant support and convenience systems. Secondly, The UOS provides near-real-time communication of events across an entire city and beyond, via a rich set of cloud bases application services, which support 'PlaceApps': applications that are context-sensitive - including location - and can be experienced via a wide range of devices. (PlaceApps can be thought of as the urban environment equivalent of an iPhone app.)RAPTOR focuses on creating a platform for the development of Apps in two key sectors: transportation and retail

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