Simple framework for systematic high-fidelity gate operations

被引:4
|
作者
Rimbach-Russ, Maximilian [1 ]
Philips, Stephan G. J. [1 ]
Xue, Xiao [1 ]
Vandersypen, Lieven M. K. [1 ]
机构
[1] Delft Univ Technol, QuTech & Kavli Inst Nanosci, Lorentzweg 1, NL-2628 CJ Delft, Netherlands
关键词
quantum computing; optimal control; spin qubit; SINGLE-ELECTRON SPIN; QUANTUM PROCESSOR; COHERENT CONTROL; QUBIT; LOGIC; OSCILLATIONS;
D O I
10.1088/2058-9565/acf786
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Semiconductor spin qubits demonstrated single-qubit gates with fidelities up to 99.9% benchmarked in the single-qubit subspace. However, tomographic characterizations reveal non-negligible crosstalk errors in a larger space. Additionally, it was long thought that the two-qubit gate performance is limited by charge noise, which couples to the qubits via the exchange interaction. Here, we show that coherent error sources such as a limited bandwidth of the control signals, diabaticity errors, microwave crosstalk, and non-linear transfer functions can equally limit the fidelity. We report a simple theoretical framework for pulse optimization that relates erroneous dynamics to spectral concentration problems and allows for the reuse of existing signal shaping methods on a larger set of gate operations. We apply this framework to common gate operations for spin qubits and show that simple pulse shaping techniques can significantly improve the performance of these gate operations in the presence of such coherent error sources. The methods presented in the paper were used to demonstrate two-qubit gate fidelities with F > 99.5% in Xue et al (2022 Nature 601 343). We also find that single and two-qubit gates can be optimized using the same pulse shape. We use analytic derivations and numerical simulations to arrive at predicted gate fidelities greater than 99.9% with duration less than, 4/(?E-z) where ?E-z is the difference in qubit frequencies.
引用
下载
收藏
页数:24
相关论文
共 50 条
  • [21] Experimental demonstration of a high-fidelity virtual two-qubit gate
    Singh, Akhil Pratap
    Mitarai, Kosuke
    Suzuki, Yasunari
    Heya, Kentaro
    Tabuchi, Yutaka
    Fujii, Keisuke
    Nakamura, Yasunobu
    PHYSICAL REVIEW RESEARCH, 2024, 6 (01):
  • [22] High-fidelity geometric gate for silicon-based spin qubits
    Zhang, Chengxian
    Chen, Tao
    Li, Sai
    Wang, Xin
    Xue, Zheng-Yuan
    PHYSICAL REVIEW A, 2020, 101 (05)
  • [23] High-Fidelity Universal Gate Set for 9Be+ Ion Qubits
    Gaebler, J. P.
    Tan, T. R.
    Lin, Y.
    Wan, Y.
    Bowler, R.
    Keith, A. C.
    Glancy, S.
    Coakley, K.
    Knill, E.
    Leibfried, D.
    Wineland, D. J.
    PHYSICAL REVIEW LETTERS, 2016, 117 (06)
  • [24] The (not so) simple prediction of enantioselectivity - a pipeline for high-fidelity computations
    Laplaza, Ruben
    Sobez, Jan-Grimo
    Wodrich, Matthew D.
    Reiher, Markus
    Corminboeuf, Clemence
    CHEMICAL SCIENCE, 2022, 13 (23) : 6858 - 6864
  • [25] High-Fidelity CNOT Gate for Donor Electron Spin Qubits in Silicon
    Kranz, Ludwik
    Roche, Stephen
    Gorman, Samuel K.
    Keizer, Joris. G.
    Simmons, Michelle Y.
    PHYSICAL REVIEW APPLIED, 2023, 19 (02)
  • [26] Development of a High-Speed High-Fidelity SCADA Simulation Framework
    Wright, Shelton R.
    Cannan, Logan
    Morris, Thomas H.
    SOUTHEASTCON 2023, 2023, : 889 - 894
  • [27] Realization of high-fidelity unitary operations on up to 64 frequency bins
    De, Syamsundar
    Ansari, Vahid
    Sperling, Jan
    Barkhofen, Sonja
    Brecht, Benjamin
    Silberhorn, Christine
    PHYSICAL REVIEW RESEARCH, 2024, 6 (02):
  • [28] High-fidelity quantum logic operations using linear optical elements
    Franson, JD
    Donegan, MM
    Fitch, MJ
    Jacobs, BC
    Pittman, TB
    PHYSICAL REVIEW LETTERS, 2002, 89 (13) : 137901 - 137901
  • [29] A high-fidelity comprehensive framework for the additive manufacturing printability assessment
    Guo, Liping
    Liu, Hanjie
    Wang, Hongze
    Wei, Qianglong
    Zhang, Jiahui
    Chen, Yingyan
    Leung, Chu Lun Alex
    Lian, Qing
    Wu, Yi
    Zou, Yu
    Wang, Haowei
    JOURNAL OF MANUFACTURING PROCESSES, 2023, 105 : 219 - 231
  • [30] A framework for high-fidelity particle tracking on massively parallel systems
    Kopper, Patrick
    Schwarz, Anna
    Copplestone, Stephen M.
    Ortwein, Philip
    Staudacher, Stephan
    Beck, Andrea
    COMPUTER PHYSICS COMMUNICATIONS, 2023, 289