Morning Overview on MSN

China’s 78-qubit chip tames quantum chaos to slow information loss

Chinese researchers have used a 78-qubit superconducting quantum processor to demonstrate that structured random pulses can hold off the chaotic heating that rapidly destroys quantum information. In ...
AZoNano on MSN

Could graphene memristors tackle AI's energy use?

This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

SHENZHEN, China, Jan. 5, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology ...
Frontiers

A multi-domain graph convolutional network-based prediction model for personalized motor imagery action

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
IEEE

Fractional Graph Spectral Filtering Based on Unified Graph Representation Matrix

Abstract: Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their ...
www.cs.cmu.edu

Explicit Lossless Vertex Expanders

In this blog post, I will explain a series of 3 papers, where the third one gives the first construction of explicit constant-degree lossless vertex expanders. [ HMMP24 ] Explicit two-sided ...