AITowards Data Science7 days ago
How to Keep Quantum Information Alive for Machine Learning
1 min read
The author explains how quantum error correction protects fragile quantum information from noise and decoherence in quantum machine learning. Three fundamental quantum errors X, Y and Z are described. Stabiliser codes offer a solution by detecting errors without directly disturbing the quantum state.
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