Quick Navigation

Overview Topics Abstract Importance Paper Tools References Reactions Discussion Publication Related

Topics

Trapped Ion Quantum Computing Superconducting Qubits Quantum Simulation

Analytical modeling of parametrically-modulated transmon qubits

arXiv

Authors: Nicolas Didier, Eyob A. Sete, Marcus P. da Silva, Chad Rigetti

Year

2017

Paper ID

45089

Status

Preprint

Abstract Read

~2 min

Abstract Words

Citations

N/A

Abstract

Building a scalable quantum computer requires developing appropriate models to understand and verify its complex quantum dynamics. We focus on superconducting quantum processors based on transmons for which full numerical simulations are already challenging at the level of qubytes. It is thus highly desirable to develop accurate methods of modeling qubit networks that do not rely solely on numerical computations. Using systematic perturbation theory to large orders in the transmon regime, we derive precise analytic expressions of the transmon parameters. We apply our results to the case of parametrically-modulated transmons to study recently-implemented parametrically-activated entangling gates.

Why This Paper Matters

This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
It adds a 2017 reference point for readers tracking recent quantum research.
Building a scalable quantum computer requires developing appropriate models to understand and verify its complex quantum dynamics.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Become a member Sign in

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

[1] DOI https://doi.org/arXiv:1706.06566 [2] arXiv https://arxiv.org/abs/1706.06566 [3] Publisher https://arxiv.org/abs/1706.06566

Local Citation Graph (Related-Paper Links)

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0

Likes: 0 Dislikes: 0

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.