Pith. sign in

REVIEW 1 cited by

Efficiently Building and Characterizing Electromagnetic Models of Multi-Qubit Superconducting Circuits

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2406.04351 v1 pith:Q2UBMBKF submitted 2024-05-13 quant-ph

classification quant-ph
keywords circuitsimpedancemulti-qubitcharacterizationcomplexityefficientlyeffortselectromagnetic
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In an attempt to better leverage superconducting quantum computers, scaling efforts have become the central concern. These efforts have been further exacerbated by the increased complexity of these circuits. The added complexity can introduce parasitic couplings and resonances, which may hinder the overall performance and scalability of these devices. We explore a method of modeling and characterization based on multiport impedance functions that correspond to multi-qubit circuits. By combining vector fitting techniques with a novel method for interconnecting rational impedance functions, we are able to efficiently construct Hamiltonians for multi-qubit circuits using electromagnetic simulations. Our methods can also be applied to circuits that contain both lumped and distributed element components. The constructed Hamiltonians account for all the interactions within a circuit that are described by the impedance function. We then present characterization methods that allow us to estimate effective qubit coupling rates, state-dependent dispersive shifts of resonant modes, and qubit relaxation times.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  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.

Pith tools