How Quantum Computing Is Deciphering Ancient Scripts

In this episode of the Quantum Computing Podcast, Lucas and Luna explore how quantum natural language processing (QNLP) is helping scholars decode ancient scripts like Linear B and the Indus Valley script. They break down the concept of quantum semantics, where words become vectors in Hilbert space, and explain how quantum superposition allows a single model to consider multiple meanings simultaneously. The hosts discuss a recent proof-of-concept where a QNLP model correctly classified fragments of undeciphered scripts with 80% accuracy, compared to 65% for classical models. They also touch on the challenges of fragmentary data and the potential for quantum computing to not only translate but also reveal cultural context. Tune in to learn how the same technology behind quantum chemistry is now illuminating the past.

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