Generalization of Modular Spread Complexity for Non-Hermitian Density Matrices
Aneek Jana, Maitri Ganguli

TL;DR
This paper extends the concept of modular spread complexity to non-Hermitian density matrices, introducing pseudo-modular complexity and pseudo-capacity, with analytical and numerical results on quantum systems and topological theories.
Contribution
It generalizes modular spread complexity to non-Hermitian cases, introduces pseudo-modular complexity and pseudo-capacity, and demonstrates their applications in various quantum models and topological theories.
Findings
Pseudo-modular complexity provides richer information than pseudo-entropy.
Analytical calculations for simple quantum systems are presented.
Numerical analysis of phase transitions and topology effects using pseudo-modular complexity.
Abstract
In this work we generalize the concept of modular spread complexity to the cases where the reduced density matrix is non-Hermitian. This notion of complexity and associated Lanczos coefficients contain richer information than the pseudo-entropy, which turns out to be one of the first Lanczos coefficients. We also define the quantity pseudo-capacity which generalizes capacity of entanglement, and corresponds to the early modular-time measure of pseudo-modular complexity. We describe how pseudo-modular complexity can be calculated using a slightly modified bi-Lanczos algorithm. Alternatively, the (complex) Lanczos coefficients can also be obtained from the analytic expression of the pseudo-R\'enyi entropy, which can then be used to calculate the pseudo-modular spread complexity. We show some analytical calculations for 2-level systems and 4-qubit models and then do numerical…
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Taxonomy
TopicsGraph theory and applications · Molecular spectroscopy and chirality · Matrix Theory and Algorithms
