TurboQuant: Redefining AI efficiency with extreme compression

Google Research introduced TurboQuant, a compression algorithm (to be published at ICLR 2026) that combines Quantized Johnson-Lindenstrauss (QJL) and PolarQuant (to be published at AISTATS 2026) to achieve zero-memory-overhead vector compression, compressing models and KV cache without accuracy loss.