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