How to Wire a 1000-Qubit Trapped-Ion Quantum Computer

被引:14
|
作者
Malinowski, M. [1 ]
Allcock, D. T. C. [1 ,2 ]
Ballance, C. J. [1 ,3 ]
机构
[1] Oxford Ion, Oxford OX5 1PF, England
[2] Univ Oregon, Dept Phys, Eugene, OR 97403 USA
[3] Univ Oxford, Dept Phys, Clarendon Lab, Parks Rd, Oxford OX1 3PU, England
来源
PRX QUANTUM | 2023年 / 4卷 / 04期
关键词
Compendex;
D O I
10.1103/PRXQuantum.4.040313
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
One of the most formidable challenges of scaling up quantum computers is that of control-signal delivery. Today's small-scale quantum computers typically connect each qubit to one or more separate external signal sources. This approach is not scalable due to the input/output (I/O) limitations of the qubit chip, necessitating the integration of control electronics. However, it is no small feat to shrink control electronics into a small package that is compatible with qubit-chip fabrication and operational constraints without sacrificing performance. This so-called "wiring challenge" is likely to impact the development of more powerful quantum computers even in the near term. In this paper, we address the wiring challenge of trapped-ion quantum computers. We describe a control architecture called WISE (Wiring using Integrated Switching Electronics), which significantly reduces the I/O requirements of ion-trap quantum computing chips without compromising performance. Our method relies on judiciously integrating simple switching electronics into the ion-trap chip-in a way that is compatible with its fabrication and operation constraints-while the complex electronics remain external. To demonstrate its power, we describe how the WISE architecture can be used to operate a fully connected 1000-qubit trapped-ion quantum computer using approximately 200 signal sources at a speed of approximately 40-2600 quantum gate layers per second.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Quantum synchronization of a single trapped-ion qubit
    Zhang, Liyun
    Wang, Zhao
    Wang, Yucheng
    Zhang, Junhua
    Wu, Zhigang
    Jie, Jianwen
    Lu, Yao
    PHYSICAL REVIEW RESEARCH, 2023, 5 (03):
  • [2] IBM unveils a 1000-qubit computer
    Padavic-Callaghan, Karmela
    NEW SCIENTIST, 2023, 246 (3468) : 13 - 13
  • [3] Efficient Stabilized Two-Qubit Gates on a Trapped-Ion Quantum Computer
    Blumel, Reinhold
    Grzesiak, Nikodem
    Nguyen, Nhung H.
    Green, Alaina M.
    Li, Ming
    Maksymov, Andrii
    Linke, Norbert M.
    Nam, Yunseong
    PHYSICAL REVIEW LETTERS, 2021, 126 (22)
  • [4] Crosstalk Suppression in Individually Addressed Two-Qubit Gates in a Trapped-Ion Quantum Computer
    Fang, Chao
    Wang, Ye
    Huang, Shilin
    Brown, Kenneth R.
    Kim, Jungsang
    PHYSICAL REVIEW LETTERS, 2022, 129 (24)
  • [5] Realizing two-qubit gates through mode engineering on a trapped-ion quantum computer
    Li, Ming
    Nguyen, Nhung H.
    Green, Alaina M.
    Amini, Jason
    Linke, Norbert M.
    Nam, Yunseong
    Physical Review A, 2025, 111 (02)
  • [6] The trapped-ion qubit tool box
    Ozeri, Roee
    CONTEMPORARY PHYSICS, 2011, 52 (06) : 531 - 550
  • [7] Progress of quantum entanglement in a trapped-ion based quantum computer
    Yum, Dahyun
    Choi, Taeyoung
    CURRENT APPLIED PHYSICS, 2022, 41 : 163 - 177
  • [8] Nuclear spin qubits in a trapped-ion quantum computer
    Feng, M.
    Xu, Y. Y.
    Zhou, F.
    Suter, D.
    PHYSICAL REVIEW A, 2009, 79 (05):
  • [9] Demonstration of the trapped-ion quantum CCD computer architecture
    J. M. Pino
    J. M. Dreiling
    C. Figgatt
    J. P. Gaebler
    S. A. Moses
    M. S. Allman
    C. H. Baldwin
    M. Foss-Feig
    D. Hayes
    K. Mayer
    C. Ryan-Anderson
    B. Neyenhuis
    Nature, 2021, 592 : 209 - 213
  • [10] Demonstration of Shor Encoding on a Trapped-Ion Quantum Computer
    Nguyen, Nhung H.
    Li, Muyuan
    Green, Alaina M.
    Alderete, C. Huerta
    Zhu, Yingyue
    Zhu, Daiwei
    Brown, Kenneth R.
    Linke, Norbert M.
    PHYSICAL REVIEW APPLIED, 2021, 16 (02):