Anticoncentration and nonstabilizerness spreading under ergodic quantum dynamics
Emanuele Tirrito, Xhek Turkeshi, Piotr Sierant

TL;DR
This paper investigates how quantum resources like anticoncentration and nonstabilizerness spread in ergodic quantum systems, revealing differences between Floquet and Hamiltonian dynamics in their timescales for resource saturation.
Contribution
It provides a comparative analysis of magic resource spreading in ergodic Floquet and Hamiltonian systems, highlighting the impact of conservation laws on these dynamics.
Findings
Floquet systems reach resource saturation at logarithmic timescales.
Hamiltonian systems require linear timescales for resource saturation.
Conservation laws constrain the growth of quantum magic resources.
Abstract
Quantum state complexity metrics, such as anticoncentration and nonstabilizerness, or ``magic'', offer key insights into many-body physics, information scrambling, and quantum computing. Anticoncentration and equilibration of magic resources under dynamics of random quantum circuits occur at times scaling logarithmically with system size, a prediction that is believed to extend to more general ergodic dynamics. This work challenges this idea by examining the anticoncentration and magic spreading in one-dimensional ergodic Floquet models and Hamiltonian systems. Using participation and stabilizer entropies to probe these resources, we reveal significant differences between the two settings. Floquet systems align with random circuit predictions, exhibiting anticoncentration and magic saturation at time scales logarithmic in system size. In contrast, Hamiltonian dynamics deviate from the…
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
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Quantum Information and Cryptography
