physics, mathematical physics, philosophy of physics
theory (physics), model (physics)
experiment, measurement, computable physics
Axiomatizations
Tools
Structural phenomena
Types of quantum field thories
Mathematically, quantum mechanics, and in particular quantum statistical mechanics, can be viewed as a generalization of probability theory, that is as quantum probability theory. The Bayesian interpretation of probability can then be generalized to a Bayesian interpretation of quantum mechanics, and thus (in principle) of all physics.
The Bayesian interpretation is founded on these principles:
Quantum states (pure or mixed) are analogous to (indeed generalizations of) probability distributions, which are to be interpreted in a Bayesian way, as indicating knowledge, belief, etc.
Time evolution of pure quantum states by the time-dependent Schrödinger's equation is analogous to evolution of classical statistical systems by Liouville's equation (and von Neumann has an equation for the evolution of density matrices that generalizes both).
Collapse of the wave function (see also propositions as projections) is analogous to (indeed a generalization of) updating a probability distribution; Born's Rule? and Bayes' Rule are analogues.
One should perhaps speak of a Bayesian interpretation of quantum mechanics, since there are different forms of Bayesianism. (This article has been written by an objective Bayesian who naturally thinks of Bayesian probabilities as reflecting knowledge rather than belief, betting commitments, etc. For other flavours of Bayesianism, substitute ‘knowledge’ below with a more appropriate term.)
There are various ways to formulate quantum mechanics mathematically, but the following elements are fairly common:
Roughly speaking, this probability distribution tells us the probability of observing the value of $O$ to take particular values given that the system has state $\psi$. Let us write $O_*\psi(E)$ for the probability that the value of $O$ will be observed to belong to the event $E$ (which is a measurable set of real numbers when $\psi$ is a probability measure on the real line) for a system in state $\psi$.
So for example, we could actually be talking about a classical system, in which we have a state space? or phase space $X$, an observable is a function on $X$, a pure state is a point in $X$, and a general state is a probability measure on $X$.
Or we could be talking about a quantum system given by a Hilbert space $H$, in which an observable is a self-adjoint operator on $H$, a pure state is a $1$-dimensional subspace of $H$, and a general state is a density matrix on $H$.
Or we could use a more abstract formulation, such as those of AQFT, FQFT, and so forth; but all of these still have observables and states.
See also JBW-algebraic quantum mechanics for a mathematical formalism that may be motivated by treating the probability distributions $O_*\psi$ as fundamental (among other considerations).
The point of the Bayesian interpretation is that the probabilities $O_*\psi(E)$ are to be interpreted as Bayesian probabilities. That is, they are not objective features of reality (the territory) but rather an expression of what a rational observer might know about the world (a map).
Thus, a state $\psi$ represents a state of knowledge about the world. The algebra $A$ of observables may be objective (or fully known), but the particular state $\psi$ that the system is in depends on what is known about that particular system. There is (except in the classical case) no possible complete specification of the actual values of all observables, only a probabilistic specification of what one might know about them.
In the Schroedinger picture (assuming a notion of time), states evolve? deterministically, unitarily, and with conservation of entropy. (Or in the Heisenberg picture, they don't evolve at all, with the observables evolving instead.) But a state may change otherwise, if one's knowledge changes. If this is an increase in knowledge as a result of a measurement, then this change in the state may be called the ‘collapse of the wavefunction’. But this collapse takes place in the map, not the territory; unlike time evolution, it is not a physical process.
Given a specification of $S$ and $A$, it may be that there exist certain states $\psi$ in $S$ such that $O_*\psi$ is a delta measure (giving a probability of $1$ for one value and $0$ for all others) for every $O$ in $A$. Then the system is classical. Depending on the mathematical formalism used, such states may not actually belong to $S$ (which might, for example, own only the absolutely continuous probability measures in some sense, as is natural in the W*-algebraic approach); so in general, we may say that the system is classical if there exists a net $(\psi_n)_n$ of states such that, for each observable $O$, the net $(O_*\psi_n)_n$ of measures on the real line converges in measure? to a delta measure. (Or so I imagine; this definition might not really be general enough.)
People have implied (for example at the beginning of Caves, Fuchs, & Schack, 2001) that this is what Niels Bohr meant all along when he put forth the Copenhagen interpretation? (for more on this suggestion see also at Bohr topos), and people have implied (in Fuchs, 2002) that it is what Albert Einstein was groping towards when he attacked Bohr, and still others (Ray Streater? as cited in Wikimedia Foundation, n.d.) have implied that it is what John von Neumann was doing when he eschewed interpretation for mathematical axioms. Any time that somebody has described a quantum state as containing information, or being given by an experimenter's knowledge, or being different for one observer than for another, the Bayesian interpretation is implicit. Arguably, it is implicit in any statement that the wavefunction describes probabilities, if probability is treated as Bayesian. However, the explicit exposition of this interpretation seems to have come rather late.
The earliest linking of Bayesianism to quantum states as states of knowledge, as far as I have seen, is Usenet discussion in 1994 (Baez et al, 2003). John Baez was promoting similar ideas the previous year (Baez, 1993) (and this is not the origin of these ideas either), but this still allows other interpretations. The idea of a ‘Bayesian interpretation’ came to prominence in 2001, drawing out of work on quantum information theory (Caves, Fuchs, & Schack, 2001). Further work has been done principally by Christopher Fuchs.
The Bayesian interpretation fits into a broader family of interpretations of quantum mechanics known as epistemic (or $\psi$-epistemic to be more precise). Although ‘epistemic’ literally refers to knowledge (suggesting objective Bayesianism in particular), the term may be used more broadly to distinguish from ontic interpretations, in which the state $\psi$ is an objective feature of reality. In contrast, an epistemic interpretation is one in which the state is subjective in some way (whether relative to one's knowledge or otherwise). Much of what is written above applies more broadly to any epistemic interpretation, although I'm not sure how much; at least some epistemic interpretations go on to posit a more fundamental reality (involving hidden variables?), while the Bayesian interpretation does not require this.
In the other direction, ‘Quantum Bayesianism’ or ‘QBism’ is used specifically to refer to the position advanced over the course of last decade principally by Christopher Fuchs. Although Fuchs's first papers on the subject (starting with Caves, Fuchs, & Schack, 2001) referred explicitly to ‘states of knowledge’, Fuchs has since adopted an increasingly subjective approach, drawing many philosophical conclusions that go beyond mere Bayesianism. These ideas should be attributed to QBism specifically rather than to the Bayesian interpretation generally. For a historical view of how QBism came to be distinguished from earlier Bayesian interpretations of quantum probability, See Stacey 2019. The technical side of this work has generally not yet taken a categorical flavor, though see van de Wetering 2018.
John Baez (1993). This Week’s Finds in Mathematical Physics (Week 27). Web.
John Baez et al (2003). Bayesian Probability Theory and Quantum Mechanics. Collection of Usenet posts from 1994, with commentary. Web.
Carlton Caves, Christopher Fuchs, Ruediger Schack (2001). Unknown Quantum States: The Quantum de Finetti Representation. ArXiv.
Christopher Fuchs (2002). Quantum Mechanics as Quantum Information (and only a little more). ArXiv.
Christopher Fuchs, David Mermin, Ruediger Schack (2014). An Introduction to QBism with an Application to the Locality of Quantum Mechanics. American Journal of Physics 82:8, 749–754. ArXiv.
David Mermin. Making better sense of quantum mechanics. ArXiv.
John van de Wetering (2018). Quantum Theory is a Quasi-stochastic Process Theory. EPTCS 266, pp. 179–196. ArXiv.
Blake Stacey (2019). Ideas abandoned en route to QBism. ArXiv.
See also
Last revised on May 8, 2021 at 11:04:22. See the history of this page for a list of all contributions to it.