It's become increasingly clear that quantum computers won't have a single moment when they become clearly superior to classical hardware. Instead, we're likely to see them becoming useful for a narrow ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
MicroCloud Hologram Inc. is advancing the field of quantum computing through its research into Continuous Variable Quantum Neural Networks (CV-QNN), which aim to embed Variational Quantum Circuits in ...
SHENZHEN, China, March 13, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo"), today announced that their research team has used quantum neural networks to classify and extract ...
Principal Research Fellow at AI and Cyber Futures Institute, Charles Sturt University Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance.
Scientists have made a major breakthrough in quantum physics by using artificial intelligence to discover a simpler way to achieve quantum entanglement—a phenomenon Albert Einstein famously referred ...
Major layer-1 blockchains are adding post-quantum security to their roadmaps as NIST standards roll out and cryptographic ...
The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. For those counting, 2030 is ...
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