**QuantoLiSense Transport** is a feasibility study led by **Quantonova Ltd** to explore the potential of a **quantum-enhanced LiDAR imaging system** for inspecting and maintaining the UK's transport infrastructure. The project aims to develop a safe, non-invasive method to detect faults and wear in critical assets such as **bridges, tunnels, and rail networks**, helping transport operators identify issues earlier, more accurately, and more reliably. The system combines **advanced quantum sensing technologies** with **AI-powered data analysis** to produce highly detailed images, even in challenging conditions like fog, dust, or surface coatings. By using fewer photons than conventional LiDAR systems, it reduces energy requirements while maintaining precision. This approach enables detection of **micro-cracks, corrosion, delamination, and other structural defects** that traditional inspection methods might miss, helping prevent costly repairs, unplanned service interruptions, and potential safety hazards. During Phase 1, the project will focus on creating a **technical use case** and an **outline business case** for integrating quantum LiDAR into transport monitoring workflows. This includes assessing the technology's performance, defining operational requirements, and exploring potential benefits for safety, cost efficiency, and environmental impact. The study will also examine how quantum LiDAR can support **predictive maintenance**, enabling operators to plan repairs more effectively, reduce downtime, extend asset lifespan, and enhance the overall resilience of transport networks. **QuantoLiSense Transport** aligns with national priorities to advance **quantum technologies** in the UK and demonstrates how second-generation quantum sensing can be applied in real-world transport settings. By combining **quantum photonics**, **signal processing**, and **intelligent analytics**, the project provides a scalable, non-destructive inspection solution that supports informed decision-making, minimises disruption, and strengthens asset management practices. By improving infrastructure reliability and safety, it can enhance passenger confidence, reduce the environmental impact of repeated maintenance, and help transport operators meet **Net Zero objectives** through smarter, more efficient scheduling of inspections and repairs. Additionally, it has the potential to influence wider industry practices, inspiring innovation across multiple transport sectors. Ultimately, this project lays the foundation for the development of a **prototype system** that could be deployed widely across the UK's transport network. **QuantoLiSense** has the potential to transform how operators maintain infrastructure, shift from reactive to **predictive maintenance strategies**, and ensure that critical assets remain safe, reliable, and resilient. By integrating **cutting-edge quantum sensing** with practical applications, the project supports a more **efficient, sustainable, and future-ready transport sector**, reinforcing the UK's leadership in the emerging global market for **quantum-enabled infrastructure monitoring**.

Canvas-of-Hope is a community-driven initiative dedicated to supporting survivors of **abuse in Suffolk.** Our mission is to empower these individuals to heal, recover, and reclaim their lives through **specialised programs and services.** We offer trauma-informed counselling, legal advocacy, substance abuse treatment, and housing support, all tailored to meet the unique needs of each survivor. Our innovative, creative healing workshops are at the heart of our initiative, where survivors explore their experiences through art, music, and storytelling in a safe and supportive environment. These workshops adopt self-expression, connection, and healing, providing a unique therapeutic approach that complements traditional methods. Beyond direct support services, Canvas-of-Hope is deeply committed to community outreach and education, aiming to raise awareness about abuse, challenge stigma, and promote empathy within the Suffolk community. We conduct educational workshops, launch public awareness campaigns, and organise community events to create a more supportive and understanding environment for survivors and their families. By prioritising survivors' safety and well-being, we strive to create a future where every survivor has the opportunity to heal, thrive, and reclaim their power. Our initiative is fundamentally survivor-centric, ensuring that every aspect of our work is designed with the survivors' needs and voices at the forefront. We actively engage the community, inviting residents to join us in our mission to build a community where survivors are supported, respected, and empowered to live their lives to the fullest. Through our comprehensive approach and community involvement, Canvas-of-Hope aims to transform the support landscape for survivors in Suffolk, advancing high resilience and hope for a better future.

QuantoTrace is an innovative, cloud-based Error-Correction-as-a-Service (ECaaS) platform designed to identify, analyse, and rectify errors in quantum computing systems, enabling researchers and businesses to develop more robust and efficient quantum computers and applications. Offering tailored error correction solutions, state-of-the-art analysis, and expert consultancy, QuantoTrace strives to become an indispensable asset for organisations operating in the quantum computing domain. The platform supports a variety of quantum hardware technologies. It incorporates many error correction codes, including toric, surface, quantum LDPC, CSS, and Steane codes. QuantoTrace uses machine learning techniques to analyse and optimises error correction strategies proactively. We hope this funding will be meaningful for our ongoing research and development and to scale the business to address the increasing demand for reliable error correction solutions in the rapidly growing quantum computing industry. At QuantoTrace, we are committed to transforming the landscape of error correction in quantum computing with the help of our valued supporters. Our goal is to unleash the full potential of this technology and drive innovation in this emerging field.