Department ofPhysics of Complex Systems

Quantum chaos

Prof. Uzy Smilansky

01 / Research

Research

The group studies quantum chaos: how the irregular, unpredictable motion of classically chaotic systems leaves its signature in the discrete energy spectra and wavefunctions of their quantum counterparts. A central theme is universality, the observation that the statistics of energy levels in chaotic systems follow the predictions of random matrix theory, independent of microscopic detail. The work seeks to derive these statistical laws from first principles, connecting periodic orbits and classical dynamics to spectral correlations through semiclassical methods.

A distinctive thread is the use of quantum graphs, networks of one-dimensional bonds whose wave equations reproduce the spectral statistics of chaotic systems while remaining mathematically tractable. These models serve as a controlled laboratory for testing conjectures about universality, and they connect spectral physics to combinatorics, number theory, and the inverse problem of recovering a system's geometry from its spectrum. The group also studies nodal structures, the patterns of zeros and sign domains of eigenfunctions, which carry their own statistical information about the underlying dynamics and offer a complementary window onto the classical-to-quantum correspondence.

Semiclassical periodic-orbit theoryRandom matrix theoryQuantum graph modelsTrace formulaeNodal-domain analysisSpectral statistics
Spectral statistics and universalityDeriving the random-matrix universality of energy-level correlations in chaotic systems from semiclassical periodic-orbit theory.
Quantum graphsUsing metric and combinatorial graphs as exactly tractable models that reproduce and explain the spectral signatures of quantum chaos.
Nodal domains and countingStudying the statistics and topology of eigenfunction nodal sets as a complementary diagnostic of chaotic versus integrable dynamics.
Inverse spectral problemsInvestigating what geometric and topological information about a system can be recovered from its spectrum, and when distinct shapes sound alike.
Random matrix theoryDeveloping and applying random-matrix ensembles to characterize the statistical fingerprints of complex and chaotic quantum systems.
02 / Output

Recent publications

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