GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
IEEE

QLAW: An Improved Quantization-Based Local Audio Watermarking Scheme Using Inter-Frame Correlation

Abstract: With the rapid development of the Internet, audio distribution has become more convenient with increasing copyright infringement. To address this problem, this paper proposes a ...
IEEE

A Study of Spatial Quantization Effects on Reconfigurable Reflectarray Antennas

Abstract: From a perspective of spatial quantization, this letter systematically investigates the advantages of reconfigurable reflectarrays (RRAs) designed with closely-spaced elements. Focused on ...