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Related Experiment Video

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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

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Published on: August 2, 2019

Quantum computer-aided design for advanced superconducting qubit: Plasmonium.

Feng-Ming Liu¹, Can Wang¹, Ming-Cheng Chen¹

¹Hefei National Research Center for Physical Sciences at the Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China; Shanghai Branch CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai 201315, China; Shanghai Research Center for Quantum Sciences, Shanghai 201315, China.

Science Bulletin

|July 15, 2023

Summary

This summary is machine-generated.

Researchers used quantum computing to design a novel "Plasmonium" qubit. This new qubit shows high fidelity and improved properties, paving the way for scalable quantum processors.

Keywords:

Anharmonicity Quantum computer-aided design Quantum simulation Superconducting qubit Variational quantum algorithm

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Area of Science:

Quantum Computing
Quantum Electronics
Solid-State Physics

Background:

Complex quantum electronic circuits are crucial for noise-protected qubits but challenging for classical simulation.
Quantum computers offer a path to efficiently simulate these complex systems.

Purpose of the Study:

To demonstrate variational quantum computing for simulating superconducting quantum electronic circuits.
To design and characterize a novel qubit, the "Plasmonium" qubit, operating in the plasmon-transition regime.

Main Methods:

Utilized a transmon-based quantum processor for variational quantum computing simulations.
Fabricated and experimentally characterized the performance of Plasmonium qubits.

Main Results:

Achieved a high two-qubit gate fidelity of 99.58(3)% with Plasmonium qubits.
Plasmonium qubits exhibit smaller physical size and greater anharmonicity compared to traditional transmon qubits.

Conclusions:

Plasmonium qubits are a promising candidate for the development of scalable multi-qubit devices.
Quantum computing can effectively assist in the design of advanced quantum processors.