IT Home On November 7, according to a report by Business Insider this morning (Day 7), AI has helped solve a major, long-standing challenge in the field of quantum computing.
Physical Superintelligence (PSI) research institution announced that, using an unreleased AI model from Anthropic, the Aarons-Banbinis conjecture in quantum computing has been successfully proven.
This hypothesis, which was proposed in 2008, has not been proven yet. The research focuses on quantum computers.Under what conditions can one achieve a processing speed far beyond that of traditional computers?。
PSI has developed its own research system using the Anthropic model, and completed the proof in just three days. According to them, this achievement means that “one of the most fundamental problems in quantum computing” has been solved.
The number of cases where AI-assisted mathematical research achieves breakthroughs is increasing. In September this year, OpenAI announced that it has solved the Navier-Stokes equation problem, which has a 90-year history and is “one of the most profound problems in mathematics.”
The research system for proving the Aronson-Ambainis conjecture was developed by PSI technician David Turuturean, and it uses an AI model from Anthropic that has not yet been released. However, it is currently unknown which specific model PSI actually used.
The proof results show that quantum computing must rely on special laws or structures present in the problem to achieve certain exponential speed advantages. This also confirms the long-standing speculation of researchers: quantum computers do not always gain significant performance benefits.
However, on some tasks, quantum computers can still significantly improve computational performance. It should be noted that although quantum computers have been introduced, technological development is still in its early stages.
Researchers who studied this hypothesis before said it is a “major achievement” and has provided an answer to a problem that had persisted for decades.