Does one still need to “shut up and calculate”?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In learning quantum mechanics, an essential question has always been: How does one go about developing a “physical feel” for quantum phenomena? Naturally, one needs a basis or ground zero to start from, and that basis must be unlike anything with which we are already familiar in consequence of our experiences with the world of classical physics. We argue (channeling Richard Feynman) that the most elementary and the least cumbersome concept to build upon is the existence of complex probability amplitudes for physical events. An event that can take place in multiple alternative ways should be treated by adding the corresponding amplitudes when the paths are, in principle, indistinguishable, and by adding the probabilities themselves when the paths are distinguishable. Once we accept this principle and hone our intuition by examining quantum phenomena in its light, we will be on the path to "understanding" quantum mechanics. Elementary examples from the field of quantum optics demonstrate how adherence to Feynman’s principle could lead to a better, more “intuitive” appreciation for the magic of quantum mechanics.

Original languageEnglish (US)
Title of host publicationQuantum Sensing and Nano Electronics and Photonics XX
EditorsManijeh Razeghi, Giti A. Khodaparast, Miriam S. Vitiello
PublisherSPIE
ISBN (Electronic)9781510670501
DOIs
StatePublished - 2024
EventQuantum Sensing and Nano Electronics and Photonics XX 2024 - San Francisco, United States
Duration: Jan 28 2024Feb 1 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12895
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceQuantum Sensing and Nano Electronics and Photonics XX 2024
Country/TerritoryUnited States
CitySan Francisco
Period1/28/242/1/24

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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