Assessment of error variation in high-fidelity two-qubit gates in silicon

• URL: http://arxiv.org/abs/2303.04090v3
• Date: Fri, 15 Mar 2024 06:18:41 GMT
• Title: Assessment of error variation in high-fidelity two-qubit gates in silicon
• Authors: Tuomo Tanttu, Wee Han Lim, Jonathan Y. Huang, Nard Dumoulin Stuyck, Will Gilbert, Rocky Y. Su, MengKe Feng, Jesus D. Cifuentes, Amanda E. Seedhouse, Stefan K. Seritan, Corey I. Ostrove, Kenneth M. Rudinger, Ross C. C. Leon, Wister Huang, Christopher C. Escott, Kohei M. Itoh, Nikolay V. Abrosimov, Hans-Joachim Pohl, Michael L. W. Thewalt, Fay E. Hudson, Robin Blume-Kohout, Stephen D. Bartlett, Andrea Morello, Arne Laucht, Chih Hwan Yang, Andre Saraiva, Andrew S. Dzurak,
• Abstract summary: We study the errors in a spin qubit processor, tying them to their physical origins. We demonstrate consistent and repeatable operation with above 99% fidelity of two-qubit gates. Results highlight both the capabilities and challenges for the scaling up of silicon spin-based qubits into full-scale quantum processors.
• Score: 0.2398431050362945
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Achieving high-fidelity entangling operations between qubits consistently is essential for the performance of multi-qubit systems and is a crucial factor in achieving fault-tolerant quantum processors. Solid-state platforms are particularly exposed to errors due to materials-induced variability between qubits, which leads to performance inconsistencies. Here we study the errors in a spin qubit processor, tying them to their physical origins. We leverage this knowledge to demonstrate consistent and repeatable operation with above 99% fidelity of two-qubit gates in the technologically important silicon metal-oxide-semiconductor (SiMOS) quantum dot platform. We undertake a detailed study of these operations by analysing the physical errors and fidelities in multiple devices through numerous trials and extended periods to ensure that we capture the variation and the most common error types. Physical error sources include the slow nuclear and electrical noise on single qubits and contextual noise. The identification of the noise sources can be used to maintain performance within tolerance as well as inform future device fabrication. Furthermore, we investigate the impact of qubit design, feedback systems, and robust gates on implementing scalable, high-fidelity control strategies. These results are achieved by using three different characterization methods, we measure entangling gate fidelities ranging from 96.8% to 99.8%. Our analysis tools identify the causes of qubit degradation and offer ways understand their physical mechanisms. These results highlight both the capabilities and challenges for the scaling up of silicon spin-based qubits into full-scale quantum processors.

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