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Update README.md
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8. **Claude Shannon (1948)**
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* Although Shannon is primarily known for classical information theory, his definition of entropy plays a crucial role in both quantum computing and quantum information theory. Shannon's entropy measures the uncertainty of a random variable, and this concept extends to quantum systems, forming the foundation for quantum information theory.
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Formula for Shannon Entropy (used in quantum information theory):**
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$\huge \color{DeepSkyBlue} H = -\sum p_i \log p_i$
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Where:
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- $H$ is the entropy of the system (quantifies uncertainty or information).
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- $p_i$ represents the probability of the $i^{th}$ event or outcome
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