Probing the localization effects in Krylov basis
J Bharathi Kannan1, Sreeram Pg1, Sanku Paul2
1Indian Institute of Science Education and Research, Department of Physics, Pune 411008, India.
Krylov complexity (K-complexity) and Arnoldi coefficients reveal diverse quantum localization phenomena in the quantum kicked rotor. These measures distinguish localization types and even detect chaos onset in localized quantum dynamics.
Area of Science:
- Quantum physics
- Quantum chaos
- Condensed matter physics
Background:
- Krylov complexity (K-complexity) measures quantum state complexity and operator growth.
- Quantum chaos is a key area of study in quantum mechanics.
- The quantum kicked rotor (QKR) is a model system for exploring quantum chaos and localization.
Purpose of the Study:
- Investigate diverse localization phenomena in the quantum kicked rotor (QKR).
- Utilize K-complexity and Arnoldi coefficients to analyze quantum state complexity and operator growth.
- Distinguish between different types of localization and detect the onset of chaos.
Main Methods:
- Applying K-complexity analysis to quantum systems.
- Utilizing Arnoldi coefficients to study operator dynamics.
- Analyzing wave-function evolution on a Krylov chain.
- Investigating four distinct localization scenarios in the QKR model.
Main Results:
- K-complexity and Arnoldi coefficients exhibit distinct signatures for different localization scenarios.
- The long-time behavior of K-complexity and wave-function evolution can differentiate localization types.
- K-complexity captures both the degree and nature of localization.
- Time-averaged K-complexity and Arnoldi coefficient scaling distinguish classical and quantum localization effects.
- Arnoldi coefficients reveal chaos onset even in localized quantum dynamics.
Conclusions:
- K-complexity and Arnoldi coefficients are powerful tools for characterizing quantum localization and chaos.
- These measures provide insights into the fundamental mechanisms driving localization in quantum systems.
- The study advances the understanding of quantum dynamics in complex systems like the QKR.
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