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Error Mitigation at the Gate and the Circuit Level in a Trapped-ion Quantum Computer

Speaker: 汪野 合肥国家实验室
Time: 2023-05-08 15:30-2023-05-08 17:00
Venue: FIT 1-222

Abstract:

Quantum computing is expected to deliver exponential speedup over classical computing on various computational tasks such as quantum simulation, number factoring, and solving linear systems of equations.  But practical implementations of these quantum algorithms demand near-perfect qubit operations. This talk will introduce my previous work at Duke Quantum Center (DQC) to mitigate errors in trapped-ion systems at both gate and circuit levels.  Topics include the demonstration of high-fidelity entangling gates in an ion chain, filter-function-optimized robust entangling gates, hidden-inverse error mitigation in quantum circuits, and crosstalk suppression with local controls. I will also briefly introduce the compact cryogenic system and the compact room-temperature system developed at DQC. These efforts allow us to identify key hardware upgrades and push the system to reach the quantum advantage and fault-tolerant quantum computing requirement.

Short Bio:

汪野,2018年在清华大学获得博士学位,研究方向为基于囚禁离子系统的量子操控、量子模拟与相关技术研发;2018年至2022年在美国杜克大学作为博士后研究员和研究科学家参与容错量子计算及量子纠错研究。近年来主要学术成果包括:超长单量子比特相干时间;长离子链中高保真度量子纠缠门;一体式芯片离子阱;变分量子算法优化。2022年加入合肥国家实验室,主要研究方向是基于囚禁离子的量子计算以及量子纠错。