Algorithmic Synthetic Unity
Allan F. Randall: algorithmic synthetic unity
Algorithmic synthetic unity (or ASU) is not quantum mechanics. It does, however, predict many of the
features of quantum mechanics (including interference and collapse), and does not
contradict quantum mechanics in any way. Moreover, we can make one additional, rationally well-motivated
assumption that will deliver something tantamount to full quantum mechanics. In this form, ASU serves as an
improved interpretation of quantum theory that falls into the
avoiding the major objections to relative state interpretations (in particular, the preferred basis and
probability objections). In addition, ASU makes many claims that go beyond quantum theory, and may even
be falsifiable independently of quantum theory; for instance, it makes certain predictions about the scale of
human cognition as compared to the complexity of the observable universe. As such, it may provide a sketch
of, or at least im
portant pointers to, a successor theory to quantum mechanics.
ASU can, therefore, be viewed as
a rationalist reconstruction of quantum mechanics (given stronger
a toy reconstruction of some of the more puzzling features of quantum mechanics,
(given weaker assumptions), or
a preliminary proposal for, or sketch of, a possible successor theory to
To read more:
ASU Poster: From Cogito Ergo Sum to the Born Rule in 30 Easy Steps
This is an accessible, visual summary of ASU in poster form,
Quantum [Un]Speakables: 50
Years of Bell's Theorem
conference in Vienna in June 2014.
ASU in a Nutshell
This is not really a paper, but a brief outline of
ASU in just a few pages--essentially a greatly abbreviated
version of the paper below.
A rationalist algorithmic reconstruction of quantum mechanics
A reasonably concise introduction to ASU, viewed as an
reconstruction of quantum mechanics.
This is a re-worked, and generally tighter, version of Chapter 8 of my dissertation below.
An algorithmic interpretation of quantum probability
An extensive exploration of all the aspects of ASU. This was my PhD dissertation (York University, Dept. of
Philosophy). It is more complete than the above paper, but the main result in Chapter 8 is not as
well-developed as in the more recent paper.