King's College London Gets First UK Crack at Google's Willow Quantum Chip

Scientists at King's College London have become the first UK academic team to get their hands on Google's Willow quantum chip, following a joint initiative between Google Quantum AI and the National Quantum Computing Centre (NQCC) that opened for proposals last year.

The research won't be exploring abstract mathematical puzzles. The King's team, led by Dr Eleanor Crane alongside Dr Alexander Schuckert from ENS Paris, wants to use Willow to model the kind of messy, particle-level interactions that underpin real-world natural processes. Think photosynthesis, superconducting materials, and how drug molecules bind to their targets. These aren't niche academic curiosities. Better answers could mean more efficient solar panels, smarter electricity grids, and treatments for diseases that currently have none.

The problem is that simulating quantum systems on classical hardware is brutal. Even the most powerful supercomputers choke on the complexity, because the number of variables scales exponentially with the number of particles involved. Quantum computers, which operate according to quantum mechanical principles rather than classical binary logic, are structurally better suited to this kind of work.

To give you a sense of the performance claims involved: Google says Willow can crack a specific theoretical benchmark problem in five minutes that would take today's fastest supercomputers ten septillion years. That's a one followed by twenty-five zeroes. Take that figure with the appropriate pinch of salt, since benchmark problems are chosen to flatter quantum hardware, but it does illustrate the computational gap the technology is trying to exploit.

The King's team isn't trying to solve these scientific questions outright with Willow. Their work is more foundational: developing the techniques and methodologies that future, more capable quantum systems will need to actually model natural processes reliably. It's groundwork for machines that don't fully exist yet.

Charina Chou, chief operating officer of Google Quantum AI, said King's put forward a compelling proposal. NQCC Director Dr Michael Cuthbert framed the initiative as evidence of the UK's serious investment in the field, pointing to the government's £2 billion quantum research commitment and a growing number of industry-academic partnerships.

Cambridge University recently announced its biggest-ever corporate tie-up, with US quantum firm IonQ, to host what's being billed as the UK's most powerful quantum computer. The sector is attracting real money and real institutional attention.

That said, tempered expectations are warranted. Quantum computers are not going to replace conventional machines. They're poorly suited to most everyday computational tasks, and scaling today's largely experimental devices into commercially practical systems still faces substantial engineering challenges. IBM is a serious competitor to Google in this space, and neither company has yet demonstrated broad, practical quantum advantage outside carefully constructed benchmarks.

Dr Crane is optimistic about the timeline, suggesting that by 2028 or 2030 there could already be meaningful real-world problems that quantum hardware can solve better than anything else available. Whether that schedule holds is anyone's guess, but the field is moving faster than it was five years ago.

There's also a less comfortable dimension to all this progress. Sufficiently powerful quantum computers will be able to break most of the encryption that currently secures digital communications, financial transactions, and pretty much everything else that matters online. Some companies and governments are already working on post-quantum cryptography to get ahead of that problem. It's worth keeping in mind that the same technology being used to simulate photosynthesis could, further down the line, be used to unpick the locks protecting global infrastructure.