Quantum Bayesianism at the Perimeter
Christopher A. Fuchs

TL;DR
This paper discusses the Quantum Bayesian interpretation of quantum mechanics, emphasizing a probability-based framework using symmetric informationally complete measurements, and explores its implications for understanding the Born Rule.
Contribution
It advances the development of a probability-only formulation of quantum mechanics, focusing on the role of symmetric informationally complete measurements within the Quantum Bayesian perspective.
Findings
Probabilistic representation of quantum mechanics via SIC measurements
Reinterpretation of the Born Rule as a probability rule
Identification of key challenges in probability-based quantum foundations
Abstract
The author summarizes the Quantum Bayesian viewpoint of quantum mechanics, developed originally by C. M. Caves, R. Schack, and himself. It is a view crucially dependent upon the tools of quantum information theory. Work at the Perimeter Institute for Theoretical Physics continues the development and is focused on the hard technical problem of a finding a good representation of quantum mechanics purely in terms of probabilities, without amplitudes or Hilbert-space operators. The best candidate representation involves a mysterious entity called a symmetric informationally complete quantum measurement. Contemplation of it gives a way of thinking of the Born Rule as an addition to the rules of probability theory, applicable when one gambles on the consequences of interactions with physical systems. The article ends by outlining some directions for future work.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Quantum Information and Cryptography
