Algorithmic cooling is a technique used in quantum computing and information theory to reduce the thermal noise or unwanted thermal excitations in quantum systems. It is based on the principles of information theory and statistical mechanics, where it aims to lower the effective temperature of a quantum system without needing to physically lower the temperature of the environment. In traditional thermal systems, achieving low temperatures often involves physical cooling, such as using cryogenic methods.
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