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Geometrical description and Faddeev-Jackiw quantization of electrical networks

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arxiv 2304.12252 v5 pith:U7MKBGDG submitted 2023-04-24 quant-ph cond-mat.mes-hallmath-phmath.MPphysics.class-ph

classification quant-phcond-mat.mes-hallmath-phmath.MPphysics.class-ph
keywords equationsdescriptionselectricalcircuitshamiltonianchargecircuitdescription
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In lumped-element electrical circuit theory, the problem of solving Maxwell's equations in the presence of media is reduced to two sets of equations, the constitutive equations encapsulating local geometry and dynamics of a confined energy density, and the Kirchhoff equations enforcing conservation of charge and energy in a larger, topological, scale. We develop a new geometric and systematic description of the dynamics of general lumped-element electrical circuits as first order differential equations, derivable from a Lagrangian and a Rayleigh dissipation function. Through the Faddeev-Jackiw method we identify and classify the singularities that arise in the search for Hamiltonian descriptions of general networks. The core of our solution relies on the correct identification of the reduced manifold in which the circuit state is expressible, e.g., a mix of flux and charge degrees of freedom, including the presence of compact ones. We apply our fully programmable method to obtain (canonically quantizable) Hamiltonian descriptions of nonlinear and nonreciprocal circuits which would be cumbersome/singular if pure node-flux or loop-charge variables were used as a starting configuration space. We also propose a specific assignment of topology for the branch variables of energetic elements, that when used as input to the procedure gives results consistent with classical descriptions as well as with spectra of more involved quantum circuits. This work unifies diverse existent geometrical pictures of electrical network theory, and will prove useful, for instance, to automatize the computation of exact Hamiltonian descriptions of superconducting quantum chips.

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  1. Reciprocal lumped-element superconducting circuits: quantization, decomposition, and model extraction

    quant-ph 2024-12 conditional novelty 6.0 of 10

    A network-matrix framework for superconducting circuits yields a quantization algorithm predicting that some conjugate variables drop out of the Hamiltonian, plus tools for circuit decomposition and model extraction.

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