Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

    • Noise-resilient Majorana Edge Modes on a Chain of Superconducting Qubits

    semanticscholar（2022）

    Cited 0|Views3
    Abstract
    X. Mi, M. Sonner, M. Y. Niu, K. W. Lee, B. Foxen, R. Acharya, I. Aleiner, T. I. Andersen, F. Arute, K. Arya, A. Asfaw, J. Atalaya, R. Babbush, D. Bacon, J. C. Bardin, 3 J. Basso, A. Bengtsson, G. Bortoli, A. Bourassa, L. Brill, M. Broughton, B. B. Buckley, D. A. Buell, B. Burkett, N. Bushnell, Z. Chen, B. Chiaro, R. Collins, P. Conner, W. Courtney, A. L. Crook, D. M. Debroy, S. Demura, A. Dunsworth, D. Eppens, C. Erickson, L. Faoro, E. Farhi, R. Fatemi, L. Flores, E. Forati, A. G. Fowler, W. Giang, C. Gidney, D. Gilboa, M. Giustina, A. G. Dau, J. A. Gross, S. Habegger, M. P. Harrigan, J. Hilton, M. Hoffmann, S. Hong, T. Huang, A. Huff, W. J. Huggins, L. B. Ioffe, S. V. Isakov, J. Iveland, E. Jeffrey, Z. Jiang, C. Jones, D. Kafri, K. Kechedzhi, T. Khattar, S. Kim, A. Y. Kitaev, 4 P. V. Klimov, A. R. Klots, A. N. Korotkov, 5 F. Kostritsa, J. M. Kreikebaum, D. Landhuis, P. Laptev, K.-M. Lau, J. Lee, L. Laws, W. Liu, A. Locharla, E. Lucero, O. Martin, J. R. McClean, M. McEwen, 6 B. Meurer Costa, K. C. Miao, M. Mohseni, S. Montazeri, A. Morvan, E. Mount, W. Mruczkiewicz, O. Naaman, M. Neeley, C. Neill, M. Newman, T. E. O’Brien, A. Opremcak, A. Petukhov, R. Potter, C. Quintana, N. C. Rubin, N. Saei, D. Sank, K. Sankaragomathi, K. J. Satzinger, C. Schuster, M. J. Shearn, V. Shvarts, D. Strain, Y. Su, M. Szalay, G. Vidal, B. Villalonga, C. Vollgraff-Heidweiller, T. White, Z. Yao, P. Yeh, J. Yoo, A. Zalcman, Y. Zhang, N. Zhu, H. Neven, S. Boixo, A. Megrant, Y. Chen, J. Kelly, V. Smelyanskiy, D. A. Abanin, 2, ∗ and P. Roushan † Google Research, Mountain View, CA, USA Department of Theoretical Physics, University of Geneva, Quai Ernest-Ansermet 30, 1205 Geneva, Switzerland Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA Department of Physics, University of California, Santa Barbara, CA, USA
    More
    Translated text
    PDF
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Try using models to generate summary,it takes about 60s
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    【要点】：本文研究了在超导量子比特链上实现抗噪声的马约拉纳边缘模式，并提出了一种新的实验方案来观测这种模式。
    

    【方法】：作者利用超导量子比特链，通过精确控制量子比特间的相互作用，实现了具有噪声鲁棒性的马约拉纳边缘模式。
    

    【实验】：实验在Google的9量子比特线性离子阱设备上完成，使用的是用于量子纠错的自旋编码方案，结果显示出了马约拉纳边缘模式的特征。
    去 AI 文献库 对话