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Learning Spectral Properties of Boolean Functions:...
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Learning Spectral Properties of Boolean Functions: A Unifying Theme in Quantum Algorithms

Abstract

Quantum computing algorithms are often presented with a notation and perspective inspired by physics. We instead relate a family of quantum algorithms to the classical problem of learning spectral properties of boolean functions.

Authors

Heidari M; Sabry A

Volume

00

Pagination

pp. 1-4

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 19, 2024

DOI

10.1109/synasc65383.2024.00013

Name of conference

2024 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
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