论文标题

通过频率吸引的汇编的系统串扰缓解量子的系统串扰

Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation

论文作者

Ding, Yongshan, Gokhale, Pranav, Lin, Sophia Fuhui, Rines, Richard, Propson, Thomas, Chong, Frederic T.

论文摘要

当前嘈杂的中间量子量子(NISQ)计算机中的关键挑战之一是控制具有高保真量子门的量子系统。量子门可能会出错的原因很多 - 对于超导式的transmon吨位,门误差的一个主要来源是由于一种称为频率拥挤的现象,邻近量子位之间的不必要的串扰。我们激发了一种系统的方法来理解和减轻近期量子程序在超导NISQ计算机上执行近期量子程序时。我们提出了一种通用软件解决方案,以根据输入程序进行系统调整量频率来减轻频率拥挤,并在必要时以更高的门忠诚交易。最终结果是,我们的工作极大地改善了可调量,固定耦合器硬件的串扰弹性,匹配或超过其他更复杂的建筑设计,例如可调耦合器系统。在NISQ基准测试中,与现有传统序列化策略相比,我们平均提高了最差的计划成功率13.3倍。

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.

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