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This paper proposes a geometric entropy framework that quantifies quantum ignorance by calculating the Hilbert-space volume of pure states satisfying specific constraints, effectively extending Boltzmann's counting principle to non-orthogonal quantum systems. By deriving explicit scaling laws for scenarios like subspace projections and imperfect detector maps, it offers a rigorous mathematical complement to standard density matrix-based entropy measures. The work advances foundational quantum statistical mechanics by providing closed-form expressions that clarify the relationship between state space geometry and physical constraints.
Boltzmann counting in Hilbert space
arXiv:2608.20136v1 Announce Type: new Abstract: We introduce a geometric entropy for quantum preparations, defined as the logarithm of the Hilbert-space volume of pure states compatible with a given set of constraints. This construction extends Boltzmann's counting perspective to the quantum setting, where compatible states need not be orthogonal and the relevant notion of "number of states" is naturally replaced by a volume in state space. We analyze three classes of constraints: restriction to a subspace, fixed expectation values, and coarse-grained subsystem descriptions. For representative examples, including subspace projection, spin expectation values, partial trace, and an imperfect detector map, we obtain explicit scaling laws and closed-form expressions for the associated volumes. The resulting framework provides a geometric measure of quantum ignorance at the level of the preparation and complements entropy notions based on density matrices and coarse graining.
Abstract:We introduce a geometric entropy for quantum preparations, defined as the logarithm of the Hilbert-space volume of pure states compatible with a given set of constraints. This construction extends Boltzmann's counting perspective to the quantum setting, where compatible states need not be orthogonal and the relevant notion of "number of states" is naturally replaced by a volume in state space. We analyze three classes of constraints: restriction to a subspace, fixed expectation values, and coarse-grained subsystem descriptions. For representative examples, including subspace projection, spin expectation values, partial trace, and an imperfect detector map, we obtain explicit scaling laws and closed-form expressions for the associated volumes. The resulting framework provides a geometric measure of quantum ignorance at the level of the preparation and complements entropy notions based on density matrices and coarse graining.
12 pages, 3 figures. Comments are welcome
Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech)
arXiv:2608.20136 [quant-ph]
(or arXiv:2608.20136v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.20136 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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