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

TL;DR
This paper presents a scalable co-optimization framework for pulses and scheduling to suppress $ZZ$ crosstalk in quantum computers, significantly improving fidelity without requiring special hardware.
Contribution
It introduces a novel, hardware-agnostic co-optimization approach for pulse and scheduling that effectively suppresses $ZZ$ crosstalk across multiple qubits.
Findings
Simulation shows up to 81x fidelity improvement on 4-12 qubits.
Real quantum computer experiments demonstrate effective $ZZ$ crosstalk elimination.
Method is compatible with various pulse optimization techniques.
Abstract
Noise is a significant obstacle to quantum computing, and crosstalk is one of the most destructive types of noise affecting superconducting qubits. Previous approaches to suppressing 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 crosstalk. However, existing approaches are non-scalable, as their required time and memory grow exponentially with the number of qubits involved. To address the above problems, we propose a scalable approach by co-optimizing pulses and scheduling. We optimize pulses to offer an ability to suppress crosstalk surrounding a gate, and then design scheduling strategies to exploit this ability and achieve suppression across the whole circuit. A main advantage of such co-optimization…
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