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Quantum Fourier analysis
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DOI：10.1073/pnas.2002813117.png)
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摘要
En 中文
Quantum Fourier analysis is a subject that combines an algebraic Fourier transform (pictorial in the case of subfactor theory) with analytic estimates. This provides interesting tools to investigate phenomena such as quantum symmetry. We establish bounds on the quantum Fourier transform a, as a map between suitably defined LP spaces, leading to an uncertainty principle for relative entropy. We cite several applications of quantum Fourier analysis in subfactor theory, in category theory, and in quantum information. We suggest a topological inequality, and we outline several open problems.
Keyword:
picture language
uncertainty principles
quantum symmetries
inequalities
quantum entanglement
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