The UK’s approach to science funding, particularly through UK Research and Innovation (UKRI) and the Science and Technology Facilities Council (STFC), is becoming increasingly erratic, jeopardizing the nation’s leadership in emerging fields like quantum computing and artificial intelligence. While prioritization is inevitable, current reforms are being rushed through without transparency or meaningful consultation, resulting in the premature termination of successful programs and the loss of critical talent.
The Quantum Disconnect
The abrupt discontinuation of the Quantum Technologies for Fundamental Physics (QTFP) initiative exemplifies this problem. QTFP was a demonstrably successful program, bridging fundamental science and emerging technologies. Its closure has already forced the departure of early-career researchers in a strategically vital area, yet no replacement vision or consultation process has been established. This shortsightedness threatens to undermine the very ecosystem that fuels innovation.
AI’s Reliance on Foundational Research
Similar issues are emerging in artificial intelligence. Many of the techniques driving current AI breakthroughs originated in fundamental research communities—particle physics, for example, was an early adopter of machine learning. Weakening this base risks stifling the flow of ideas and skills that underpin economic progress.
The PPAN Skills Gap
Particle physics, astronomy, and nuclear physics (PPAN) are not just abstract pursuits; they serve as crucial training grounds for in-demand engineering and technical skills. Vacuum engineering, cryogenics, electrical and mechanical engineering, software development, and data science—all essential for quantum computing—are honed in these fields. Cutting funding to PPAN effectively robs Peter to pay Paul, ultimately weakening the entire innovation pipeline.
“If Peter is robbed to pay Paul, we all end up poorer.” – Prof Sheila Rowan
The UK Quantum Skills Taskforce recognizes the growing demand for a broader range of skills, including technical expertise across disciplines. The very skills in short supply—the ones the UK needs to thrive in quantum computing—are precisely those developed through foundational research.
Sustained investment in fundamental science is not a luxury; it’s a necessity. Prioritization must be done strategically, with transparency and a credible plan for maintaining the entire ecosystem, from basic research to real-world applications. Without it, the UK risks losing its competitive edge in the technologies of the future.
The current trajectory suggests a failure to grasp the interconnectedness of scientific disciplines. Cutting off the base of foundational research will inevitably limit the potential of applied fields like quantum computing, undermining long-term leadership and economic growth.
