Quick Navigation
Topics
Qubit Coherence Noise Stability Characterization
The Beta-Bound: Drift constraints for Gated Quantum Probabilities
arXiv
Authors: Jonathon Sendall
Year
2026
Paper ID
3162
Status
Preprint
Abstract Read
~2 min
Abstract Words
167
Citations
N/A
Abstract
Quantum mechanics provides extraordinarily accurate probabilistic predictions, yet the framework remains silent on what distinguishes quantum systems from definite measurement outcomes. This paper develops a measurement-theoretic framework for projective gating. The central object is the β-bound, an inequality that controls how much probability assignments can drift when gating and measurement fail to commute. For a density operator ρ, projector F, and effect E, with gate-passage probability s = {rm Tr}(ρF) and commutator norm varepsilon = \|[F, E]\|, the symmetric partial-gating drift satisfies |ΔpF(E)| leq 2 sqrt{(1 - s)/s} cdot varepsilon. The constant 2 is sharp. We introduce two diagnostic quantities: the coherence witness W(ρ, F) = \|F ρ(I - F)\|1, measuring cross-boundary coherence, and the record fidelity gap ΔT\(ρF, R\), measuring expectation-value change under symmetrisation. Three experimental vignettes demonstrate falsifiability: Hong--Ou--Mandel interferometry, atomic energy-basis dephasing, and decoherence-induced classicality. The framework is operational and interpretation-neutral, compatible with Everettian, Bohmian, QBist, and collapse approaches. It provides quantitative structure that any interpretation must accommodate, along with a template for experimental tests.
Why This Paper Matters
- This paper contributes to the Qubit Coherence, Noise & Stability Characterization research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Quantum mechanics provides extraordinarily accurate probabilistic predictions, yet the framework remains silent on what distinguishes quantum systems from definite measurement...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.