Design and Simulation of High T<sub>c</sub> Superconducting Charge-Based Qubit

Quantum computing has advantages over conventional computing in performing algorithms such as factorization and search. Quantum processors, as a tool for quantum computing, are computing units that consist of qubits as basic elements. There are different approaches toward the implementation of the qubits. The most renowned and applicable of these implementations is based on superconducting qubits. Among various types of superconducting qubits, charge qubits in form of transmons are chosen in this work because of their straightforward fabrication methods and better interfacing and scalability. In this paper, utilizing EPR (Energy Participation Ratio) method, one of the main transmon structures made of High T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">c</inf> superconductor materials, are designed and simulated. Additionally, the effects of some geometry-based parameters of the qubit structure on qubit characteristics such as frequency and anharmonicity are explored. Moreover, the single transmon qubit structure with High T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">c</inf> superconductor transmission lines as readout and control sections are designed and simulated. In addition, due to the Purcell effect, the Purcell filter is added to the designed single qubit structure to reduce the spontaneous emission of the qubit. The results of our simulations are compared with that of the conventional superconductor based transmons.

Authors

Institutions

Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/eexpolytech62224.2024.10755851
Primary Topic
Quantum and electron transport phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Simulation of High Tc Superconducting Charge-Based Qubit

Mehdi Fardmanesh, Mojtaba Hossein Pour Choubi
Quantum and electron transport phenomena
article

Design and Simulation of High Tc Superconducting Charge-Based Qubit

Mehdi Fardmanesh, Mojtaba Hossein Pour Choubi
article en

Abstract

Quantum computing has advantages over conventional computing in performing algorithms such as factorization and search. Quantum processors, as a tool for quantum computing, are computing units that consist of qubits as basic elements. There are different approaches toward the implementation of the qubits. The most renowned and applicable of these implementations is based on superconducting qubits. Among various types of superconducting qubits, charge qubits in form of transmons are chosen in this work because of their straightforward fabrication methods and better interfacing and scalability. In this paper, utilizing EPR (Energy Participation Ratio) method, one of the main transmon structures made of High T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">c</inf> superconductor materials, are designed and simulated. Additionally, the effects of some geometry-based parameters of the qubit structure on qubit characteristics such as frequency and anharmonicity are explored. Moreover, the single transmon qubit structure with High T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">c</inf> superconductor transmission lines as readout and control sections are designed and simulated. In addition, due to the Purcell effect, the Purcell filter is added to the designed single qubit structure to reduce the spontaneous emission of the qubit. The results of our simulations are compared with that of the conventional superconductor based transmons.

Sharif University of Technology (IR)
Openalex Percentile: Top 81%
Quantum and electron transport phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.