Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
Abstract: Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then ...
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