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Calibrating Question Answering Systems with Quantum Neural Networks

Offered By: ICTP-SAIFR via YouTube

Tags

Quantum Information Courses Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Quantum Neural Networks Courses

Course Description

Overview

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Explore a cutting-edge lecture on calibrating question answering systems using quantum neural networks. Delve into the intersection of quantum computing and natural language processing as Felipe F. Fanchini from UNESP Bauru, Brazil, presents his research at the ICTP-SAIFR School on Quantum Computation. Learn how quantum neural networks can be applied to enhance the performance and accuracy of question answering systems. Gain insights into the potential of quantum computing in advancing artificial intelligence and language understanding. This 53-minute talk, part of a comprehensive program held from November 14-25, 2022, offers a unique opportunity to understand the latest developments in quantum computation and its applications in real-world scenarios.

Syllabus

Felipe F. Fanchini: Calibrating Question Answering Systems with Quantum Neural Networks


Taught by

ICTP-SAIFR

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