Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

Today, quantum computing may represent a similar opportunity. Like AI, quantum computing could be a game changer. Quantum computing is based on the principles of quantum mechanics, involving the ...

A new quantum repeater protocol based on post-matching offers improved entanglement generation and robustness, bridging advances in quantum communication and cryptography ...

The emitted light exhibits non-classical quantum properties, differing significantly from the light we encounter daily, which follows classical physics rules. To produce a much stronger photon signal, ...

We investigate the variational quantum eigensolver (VQE) for estimating the ground-state energy of the BeH2 molecule, emphasizing practical implementation and performance on current quantum hardware.

To address this issue, we propose a novel hyperspectral anomaly detection method based on a spatial-spectral joint mask variational autoencoder (VAE). By combining the probabilistic modeling ...

The methodology integrates supervised (Random Forest), unsupervised (Isolation Forest), and deep learning (LSTM autoencoder) techniques, leveraging federated learning for edge deployment and ...

This study explores the application of quantum computing to metal cluster analysis through the development and implementation of a quantum-DFT embedding workflow. Classical computational methods, ...

Post-quantum cryptography is focused on getting cryptography approaches ready for the era of quantum computers, a post-quantum world.