The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously believed an exponentially large training set would be required to train a quantum neural network, the quantum No-Free-Lunch theorem developed by Los Alamos National Laboratory shows that quantum entanglement eliminates this exponential overhead.
índice de Newsletters altLab - 2022
Exploring Quantum Computing: Unlocking the Power of Quantum Mechanics
Quantum Computing Companies: A Full 2024 List
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Researchers demonstrate the power of quantum computing in drug design
Quantum-assisted quantum compiling – Quantum
Quantum Computing (2) -- Superposition and Entanglement
エンタングルメントが量子機械学習のスケーラビリティを向上させる
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