Unimon qubit

Author:

Hyyppä EricORCID,Kundu Suman,Chan Chun Fai,Gunyhó AndrásORCID,Hotari Juho,Janzso DavidORCID,Juliusson Kristinn,Kiuru Olavi,Kotilahti Janne,Landra Alessandro,Liu Wei,Marxer FabianORCID,Mäkinen Akseli,Orgiazzi Jean-Luc,Palma Mario,Savytskyi MykhailoORCID,Tosto Francesca,Tuorila Jani,Vadimov Vasilii,Li Tianyi,Ockeloen-Korppi Caspar,Heinsoo JohannesORCID,Tan Kuan Yen,Hassel JuhaORCID,Möttönen MikkoORCID

Abstract

AbstractSuperconducting qubits seem promising for useful quantum computers, but the currently wide-spread qubit designs and techniques do not yet provide high enough performance. Here, we introduce a superconducting-qubit type, the unimon, which combines the desired properties of increased anharmonicity, full insensitivity to dc charge noise, reduced sensitivity to flux noise, and a simple structure consisting only of a single Josephson junction in a resonator. In agreement with our quantum models, we measure the qubit frequency, ω01/(2π), and increased anharmonicity α/(2π) at the optimal operation point, yielding, for example, 99.9% and 99.8% fidelity for 13 ns single-qubit gates on two qubits with (ω01, α) = (4.49 GHz, 434 MHz) × 2π and (3.55 GHz, 744 MHz) × 2π, respectively. The energy relaxation seems to be dominated by dielectric losses. Thus, improvements of the design, materials, and gate time may promote the unimon to break the 99.99% fidelity target for efficient quantum error correction and possible useful quantum advantage with noisy systems.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Josephson-Based Qubit;Synthesis Lectures on Engineering, Science, and Technology;2024-07-14

2. Multimode physics of the unimon circuit;Physical Review Research;2024-07-01

3. Kinemon: An inductively shunted transmon artificial atom;Physical Review Applied;2024-02-29

4. Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting;Applied Sciences;2024-02-11

5. Enhancing qubit readout with Bayesian learning;Physical Review A;2023-12-22

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