New Scientist

We might finally know how to use quantum computers to boost AI

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
CoinDesk

How a quantum computer can be used to actually steal your bitcoin in '9 minutes'

Part one explained the physics of quantum computing. This piece explains the target — how bitcoin's encryption works, why a ...
IEEE

Design and Implementation of a Real-Time Compensation Algorithm for Age Error in Heterodyne Interference Signal Data

Abstract: This paper analyzes and compensates for Data Age Error (DAE) in heterodyne interferometers under high-dynamic conditions, systematically elucidating the ...
IEEE

Implementation of Deep Learning Algorithm to Estimate the State of Charge (SOC) of Lithium Ion Battery

Abstract: In electric vehicles (EVs), the need for superior battery management systems (BMS) to confirm efficiency, maximum performance of lithium-ion batteries (LIBs) and safety is increasing.
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 ...