This advancement in quantum algorithms could help accelerate some of the most computationally intensive simulations used in engineering today. This is an interesting and timely contribution to quantum ...
Abstract: Evolutionary algorithms (EAs) are widely adopted for black-box optimization, yet evaluation protocols remain largely accuracy-centric and often omit computational energy use, hindering ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results