Suppressing ZZ crosstalk of Quantum computers through pulse and scheduling co-optimization
Lei Xie, Jidong Zhai, Zhenxing Zhang, Jonathan Allcock, Shengyu Zhang, Yi-Cong Zheng · 2022
Noise is a significant obstacle to quantum computing, and ZZ crosstalk is one of the most destructive types of noise affecting superconducting qubits. Previous approaches to suppressing ZZ crosstalk have mainly relied on specific chip design that can complicate chip fabrication and aggravate decoherence. To some extent, special chip design can be avoided by relying on pulse optimization to suppress ZZ crosstalk. However, existing approaches are non-scalable, as their required time and memory grow exponentially with the number of qubits involved.