Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Enabled by the introduction of its Willow quantum chip last year, Google today claims it's conducted breakthrough research that confirms it can create real-world applications for quantum computers.

Google has made a significant leap in quantum computing with the unveiling of the Quantum Echoes algorithm, a revolutionary development that outpaces the world’s leading supercomputers by a staggering ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

Google claims to have developed a quantum computer algorithm that is 13,000 times faster than the most powerful supercomputers. This would bring the technology another step closer to real-world ...