Interactive Python toolkit for topological quantum neural networks: noise-resilient classification via spin-network encoding, with three real-time visualization GUIs. Controlled interpolation between ...

Hybrid Quantum–Classical Neural Network (QCNN) for automated brain tumour detection using MRI images. Combines EfficientNet-B0 feature extraction with a 4-qubit PennyLane quantum layer and includes a ...

IonQ (IONQ) was in focus on Monday as the quantum computing firm announced it has been awarded a government contract for the Missile Defense Agency Scalable Homeland Innovative Enterprise Layered ...

Forbes contributors publish independent expert analyses and insights. Javier Bastardo is a Venezuelan covering Bitcoin news since 2017. On February 11 the most concrete action Bitcoin developers have ...

Anthropic’s Claude Code Security sent shockwaves through cybersecurity markets, with CrowdStrike and Palo Alto Networks among the hardest hit. Shares in leading listed cybersecurity companies have ...

Abstract: Quantum computing holds considerable promise for artificial intelligence (AI) in clinical decision support systems (CDSS), particularly in resource-constrained environments. This paper ...

Add Decrypt as your preferred source to see more of our stories on Google. BIP 360 co-authors say Bitcoin signatures are the main quantum risk for the blockchain. About 30% of Bitcoin sits under ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...

Abstract: Hybrid quantum–classical computing has become an attractive strategy for improving learning capability and predictive capacity in complex data environments. This work presents a ...