Machine learning models optimized for edge hardware can determine control-pulse parameters for SNAP gates in microwave cavity qudits with gate trace infidelity near 10^-3.

Quantum machine learning has been one of the most tantalizing promises in computational finance: the idea that qubits, ...

The exponential growth of network complexity, traffic volume and security demands is challenging the scalability of classical automation frameworks. Artificial intelligence (AI) has improved network ...

WiMi Hologram Cloud Inc. announced that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through ...

Most people consider quantum computers the supreme danger to digital security today. We constantly hear stories about future supercomputers decoding the global internet. Cryptographers spend late ...