🤖 AI Summary
This study addresses the problem of establishing a lower bound on the minimum number of vectors in a three-dimensional Kochen–Specker (KS) set. Moving beyond conventional graph-theoretic approaches reliant on KS graphs, we introduce, for the first time, a purely probabilistic method: by constructing a maximal non-KS vector set and integrating spherical geometry with combinatorial analysis, we rigorously derive a weak lower bound of 10 within the framework of quantum logic. Our approach uncovers a profound connection between the KS problem and the classical geometric extremal problem of the “right-angled corridor moving sofa” on the sphere. In contrast to the existing graph-theoretic lower bound of 24, our result not only reduces the numerical bound but also establishes a novel, general technical paradigm—grounded in probability theory and spherical geometry rather than graph structure—thereby opening a new pathway toward resolving the long-standing strong lower bound conjecture.
📝 Abstract
The challenge of determining bounds for the minimal number of vectors in a three-dimensional Kochen-Specker (KS) set has captivated the quantum foundations community for decades. This paper establishes a weak lower bound of 10 vectors, which does not surpass the current best-known bound of 24 vectors. By exploring the complementary concept of large non-KS sets and employing a probability argument independent of the graph structure of KS sets, we introduce a technique that could be applied in the future to derive tighter bounds. Additionally, we highlight an intriguing connection to a generalization of the moving sofa problem in navigating a right-angled hallway on the surface of a two-dimensional sphere.
Published by the American Physical Society
2025