National Quantum Strategy Mission 1: UK Funds Hybrid Quantum Algorithms for 1 Trillion Operations

By 2030, the United Kingdom intends to have domestically accessible quantum computers capable of performing one trillion operations, a specific benchmark outlined in the National Quantum Strategy Mission 1. Funding is now available through opportunity OPP1268 for projects focused on achieving this computational power not simply by building larger machines, but by dramatically reducing the resources required for quantum calculations. Successful proposals will prioritize “adaptive estimation and innovative algorithms” alongside demonstrable integration with key industries and user adoption, signaling a focus on practical application. The initiative seeks to support scalable, resource-efficient hybrid quantum-classical computation, with research welcomed in areas ranging from error mitigation to foundational theory underpinning future scaling.

Funding call OPP1268 specifically prioritizes projects demonstrating reductions in computational demands through “adaptive estimation and innovative algorithms,” emphasizing practical quantum advantage rather than theoretical possibility. Researchers are encouraged to explore methods for driving down resource requirements, aligning workflows with the needs of high-value sectors, and achieving scalable hybrid quantum-classical computation. The emphasis on adaptive resource estimation extends to understanding the interplay between quantum and classical resources; projects must consider how classical processing scales alongside optimized quantum elements. Successful proposals will also address quantum and classical resource co-estimation, seeking to balance workloads across hybrid systems and improve algorithmic efficiency. The funding opportunity welcomes research into scalable testing frameworks and error mitigation techniques suitable for near-term, noisy intermediate-scale quantum (NISQ) devices, and those progressing towards fault tolerance, ensuring practical viability alongside theoretical advancement. “We are looking to fund projects that enable scalable, resource-efficient and trustworthy hybrid quantum-classical computation,” states the call description.

The current focus within near-term quantum computing, or NISQ, extends beyond simply building larger processors; researchers are actively refining techniques to extract meaningful results from existing, imperfect hardware. A key area of development centers on verification, benchmarking, and error mitigation strategies suitable for these noisy intermediate-scale quantum systems. Funding initiatives, such as the EPSRC’s OPP1268, specifically prioritize research into scalable testing frameworks and resource-efficient error correction methods, acknowledging the limitations of current qubit quality. Applications for funding must demonstrate seamless domain integration of quantum computing and high-value sector engagement, indicating a shift from purely theoretical investigations toward real-world problem solving. Research into adaptive resource estimation and algorithmic efficiency is also welcomed, with a focus on methods to drive down computational resource requirements under uncertainty, which could lead to quantum advantage in key industries.