• Abstract We propose an improved method for quantizing superconducting circuits that incorporates material- and geometry-dependent kinetic inductance • Our approach models thin superconducting films as equivalent reactive boundary elements, seamlessly integrating into the conventional circuit quantization framework without adding significant computational complexity • As a proof of concept, we experimentally verify our method using planar superconducting quantum devices made of 35-nm-thick disordered niobium films, known to exhibit large kinetic inductance values • We demonstrate significantly improved accuracy in predicting the Hamiltonian based solely on the chip layout and material properties of superconducting films and Josephson junctions • Specifically, conventional methods exhibit average errors of 5 • 4% in mode frequencies and 41% in cross-Kerr shift frequencies, while our method reduces the errors to 1

Article Summaries:

  • Abstract We propose an improved method for quantizing superconducting circuits that incorporates material- and geometry-dependent kinetic inductance. Our approach models thin superconducting films as equivalent reactive boundary elements, seamlessly integrating into the conventional circuit quantization framework without adding significant computational complexity. As a proof of concept, we experimentally verify our method using planar superconducting quantum devices made of 35-nm-thick disordered niobium films, known to exhibit large kinetic inductance values. We demonstrate significantly imp

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