Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation

被引：47

作者：

Ding, Yongshan ^{[1
]}

Gokhale, Pranav ^{[1
]}

Lin, Sophia Fuhui ^{[1
]}

Rines, Richard ^{[1
]}

Propson, Thomas ^{[1
]}

Chong, Frederic T. ^{[1
]}

机构：

[1] Univ Chicago, Dept Comp Sci, Chicago, IL 60615 USA

来源：

2020 53RD ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO 2020) | 2020年

关键词：

quantum computing; error mitigation; compiler optimization; superconducting qubit; QUANTUM SUPREMACY; STATE;

D O I：

10.1109/MICRO50266.2020.00028

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

One of the key challenges in current Noisy Intermediate-Scale Quantum (NISQ) computers is to control a quantum system with high-fidelity quantum gates. There are many reasons a quantum gate can go wrong - for superconducting transmon qubits in particular, one major source of gate error is the unwanted crosstalk between neighboring qubits due to a phenomenon called frequency crowding. We motivate a systematic approach for understanding and mitigating the crosstalk noise when executing near-term quantum programs on superconducting NISQ computers. We present a general software solution to alleviate frequency crowding by systematically tuning qubit frequencies according to input programs, trading parallelism for higher gate fidelity when necessary. The net result is that our work dramatically improves the crosstalk resilience of tunable-qubit, fixed-coupler hardware, matching or surpassing other more complex architectural designs such as tunable-coupler systems. On NISQ benchmarks, we improve worst-case program success rate by 13.3x on average, compared to existing traditional serialization strategies.

引用

页码：201 / 214

页数：14

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