Quantum software startup Classiq raises new funding from AMD, Qualcomm

Classiq says that the latest extension of its Series C raise included contributions from AMD Ventures, Qualcomm Ventures and ...
来自MSN

How Neural Networks Are Changing On-the-Go Computing

The curious minds at ColdFusion explain how neural networks are transforming on-the-go computing. This matters because AI-driven devices can now process information faster, smarter, and more ...
IEEE

Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway ...

Quantum many-body system can be solved with neural-network method. Nonetheless, the practical deployment of neural network quantum states (NNQS) in large-scale electronic structure analyses faces ...
Seeking Alpha

IonQ, Rigetti, D-Wave surge on report of Trump administration quantum equity talks

Quantum computing stocks rose sharply in premarket trading on Thursday after reports emerged that the Trump administration is negotiating equity stakes in several key firms.
Business Insider

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
The Motley Fool

Here's Warren Buffett's Favorite Quantum Computing Stock (Hint: It's Not IonQ, D-Wave ...

Quantum computing may not be in Buffett's wheelhouse. But he owns a stake in a quantum computing stock anyway. Warren Buffett has spoken publicly about his disdain for cryptocurrencies. He's talked ...
C&EN

Interpretable Graph Neural Network for Predicting Transient Electronic Structures of ...

Department of Materials Science and Engineering, Indian Institute of Technology, Delhi-110016, India Department of Chemistry, Indian Institute of Technology, Delhi-110016, India ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...