Grassmann Variables and the Jaynes-Cummings Model
Bryan J. Dalton, Barry M. Garraway, John Jeffers, Stephen M., Barnett

TL;DR
This paper develops a phase space method using Grassmann variables to analyze the Jaynes-Cummings model, providing a new approach that links distribution functions with coupled equations and known solutions.
Contribution
It introduces a positive P type distribution function involving Grassmann variables for the Jaynes-Cummings model, enabling analytical solutions and connecting to established state vector methods.
Findings
Distribution function equivalent to six c-number functions.
Analytical solutions obtained via variable transformations.
Consistent with known state vector solutions.
Abstract
This paper shows that phase space methods using a positive P type distribution function involving both c-number variables (for the cavity mode) and Grassmann variables (for the two level atom) can be used to treat the Jaynes-Cummings model. Although it is a Grassmann function, the distribution function is equivalent to six c-number functions of the two bosonic variables. Experimental quantities are given as bosonic phase space integrals involving the six functions. A Fokker-Planck equation involving both left and right Grassmann differentiation can be obtained for the distribution function, and is equivalent to six coupled equations for the six c-number functions. The approach used involves choosing the canonical form of the (non-unique) positive P distribution function, where the correspondence rules for bosonic operators are non-standard and hence the Fokker-Planck equation is also…
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