A Differential-Geometric Approach to Quantum Ignorance Consistent with Entropic Properties of Statistical Mechanics
Shannon Ray, Paul M. Alsing, Carlo Cafaro, Shelton Jacinto

TL;DR
This paper introduces a differential-geometric framework for quantum ignorance, defining a volume on the manifold of purifications, and demonstrates how systems evolve towards equilibrium states of maximal volume and entanglement, aligning with thermodynamic principles.
Contribution
It develops a novel geometric approach to quantum ignorance using volume measures on purification manifolds, linking entropic properties with coarse-graining in quantum systems.
Findings
System states evolve towards maximum volume equilibrium states.
Volume correlates with von Neumann entropy, being zero for pure states.
Equilibrium states dominate the coarse-grained space in large systems.
Abstract
In this paper, we construct the metric tensor and volume for the manifold of purifications associated with an arbitrary reduced density operator . We also define a quantum coarse-graining (CG) to study the volume where macrostates are the manifolds of purifications, which we call surfaces of ignorance (SOI), and microstates are the purifications of . In this context, the volume functions as a multiplicity of the macrostates that quantifies the amount of information missing from . Using examples where the SOI are generated using representations of , , and , we show two features of the CG. (1) A system beginning in an atypical macrostate of smaller volume evolves to macrostates of greater volume until it reaches the equilibrium macrostate in a process in which the system and environment become strictly more entangled, and (2) the equilibrium…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Quantum Mechanics and Applications
