GAP Measures and Wave Function Collapse
Abstract
GAP measures (also known as Scrooge measures) are a natural class of probability distributions on the unit sphere of a Hilbert space that come up in quantum statistical mechanics; for each density matrix $ρ$ there is a unique measure GAP$_ρ$. We describe and prove a property of these measures that was not recognized so far: If a wave function $Ψ$ is GAP$_ρ$ distributed and a collapse occurs, then the collapsed wave function $Ψ'$ is again GAP distributed (relative to the appropriate $ρ'$). This f...
Description / Details
GAP measures (also known as Scrooge measures) are a natural class of probability distributions on the unit sphere of a Hilbert space that come up in quantum statistical mechanics; for each density matrix there is a unique measure GAP. We describe and prove a property of these measures that was not recognized so far: If a wave function is GAP distributed and a collapse occurs, then the collapsed wave function is again GAP distributed (relative to the appropriate ). This fact applies to collapses due to a quantum measurement carried out by an observer, as well as to spontaneous collapse theories such as CSL or GRW. More precisely, it is the conditional distribution of , given the measurement outcome (respectively, the noise in CSL or the collapse history in GRW), that is GAP.
Source: arXiv:2602.19993v1 - http://arxiv.org/abs/2602.19993v1 PDF: https://arxiv.org/pdf/2602.19993v1 Original Link: http://arxiv.org/abs/2602.19993v1
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Feb 25, 2026
Quantum Computing
Quantum Physics
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