A fractional calculus framework for open quantum dynamics: From Liouville to Lindblad to memory kernels
Open quantum systems exhibit dynamics ranging from unitary evolution to irreversible dissipation. While the Gorini-Kossakowski-Sudarshan-Lindblad equation uniquely characterizes Markovian completely positive and trace-preserving (CPTP) evolution, many physical platforms display non-Markovian features such as algebraic relaxation and coherence backflow. Fractional calculus provides a natural way to model such long-memory behavior through power-law temporal kernels introduced by fractional time derivatives. Here, we develop a unified framework that embeds fractional master equations within the broader hierarchy of open-system formalisms. The fractional equation forms a structured subclass of memory-kernel models, reduces to the Lindblad form at unit order, and, through Bochner-Phillips subordination, admits a CPTP representation as an average over Lindblad semigroups. Its resolvent structure further connects fractional dynamics to established non-Markovian approaches, including Nakajima-Zwanzig kernels and hierarchical equations of motion, providing a compact surrogate for long-memory effects. This formulation positions fractional calculus as a rigorous and practical language for modeling non-Markovian quantum dynamics in chemical physics and physical chemistry, providing a CPTP-preserving, computationally efficient surrogate for structured condensed-phase environments where long-time memory and dissipation play a central role.
Authors
- Z. Yu (ORCID: https://orcid.org/0000-0001-9415-8252)
- Bo Peng (ORCID: https://orcid.org/0000-0001-9619-7378)
Institutions
- Los Alamos National Laboratory (US)
- Pacific Northwest National Laboratory (US)
Publication Details
- Journal
- The Journal of Chemical Physics
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1063/5.0312309
- Primary Topic
- Fractional Differential Equations Solutions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- Battelle
- Office of Science
- National Nuclear Security Administration
- Basic Energy Sciences
- Laboratory Directed Research and Development
- Los Alamos National Laboratory
- Pacific Northwest National Laboratory