Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...

Bright stickers labeled “AI inside” and “Copilot+ ready” dominate the marketing landscape, while traditional specifications have quietly receded into the background. This article examines the rise of ...

SSDs represent a robust growth vector for Micron Technology as memory demands in AI data centers show no signs of stopping.

This mini PC is small and ridiculously powerful.

Proof of concept uses passive components to redirect heat across a chip, allowing temperature patterns to be used for data processing.

Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

In the lush landscapes of tropical agriculture, two waste products—oyster shells from the sea and coconut shells from the trees—are being combined to ...

In the lush landscapes of tropical agriculture, two waste products—oyster shells from the sea and coconut shells from the trees—are being combined to solve a major headache for farmers: how to turn ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

Researchers from Fudan University designed a fiber integrated circuit (FIC) with a multilayered spiral architecture. The ...