In the realm of artificial intelligence, quantum deep learning emerges as a revolutionary fusion of quantum computing and deep learning methodologies. This convergence heralds groundbreaking ...

The above figure highlights the ultra-hybrid deep learning architecture the ORNL researchers have applied. The data runs through a convolutional net on Titan, that moves over to the quantum side at ...

The rapid advancement of quantum computing (QC) and machine learning (ML) has given rise to the burgeoning field of quantum machine learning (QML), aiming to capitalize on the strengths of quantum ...

Quantum computing, combined with deep learning, leverages principles like superposition and entanglement to enhance complex data-driven tasks. The Noisy Intermediate-Scale Quantum (NISQ) era presents ...

In our paper, “Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation,” we show how a frozen classical CNN (teacher) ...

With the advent of quantum computing, deep learning, and the holographic principle, physicists are no longer peering beyond the event horizon they are mapping out the quantum architecture of space ...

SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise ...

Dublin, Nov. 21, 2024 (GLOBE NEWSWIRE) -- The "Machine Learning and Deep Learning in the Quantum Era 2024: A Market Forecast and Technology Assessment" report has been added to ResearchAndMarkets ...