How to Keep Quantum Information Alive for Machine Learning
Quantum Machine Learning promises powerful new ways of processing information, but quantum states are extraordinarily fragile. In this article, we explore why quantum information is so difficult to protect, how noise and decoherence introduce errors, and the fundamental ideas behind Quantum Error Co

rrection: the technology that may make large-scale quantum machine learning possible. The post How to Keep Quantum Information Alive for Machine Learning appeared first on Towards Data Science.
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