Efficient modeling of superconducting quantum circuits with tensor networks
Efficient modeling of superconducting quantum circuits with tensor networks
We introduce an efficient tensor network toolbox to compute the low-energy excitations of large-scale superconducting quantum circuits up to a desired accuracy. We benchmark this algorithm on the fluxonium qubit, a superconducting quantum circuit based on a Josephson junction array with over a hundred junctions. As an example of the …