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arXiv · 2603.15758

Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets

Andy J. Goldschmidt·Emilio Peláez Cisneros·Ryan Sitler·Kevin Olsson·Kaitlin N. Smith·Gregory Quiroz
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Abstract

We introduce crosstalk-robust gate sets, which are obtained using a novel, scalable optimal control problem exploiting locality. Through the suppression of pairwise quantum crosstalk, the gate sets enable robustness that extends to multi-qubit circuits. The IBM Quantum Platform devices provide a testbed for our gate sets, where we study their efficacy via error suppression protocols and randomized parallel single-qubit circuits of up to eight qubits. Furthermore, we provide the first known assessment of the impact of complete optimal control gate sets on quantum algorithms. Using a Hamiltonian simulation of a four-qubit transverse field Ising model, we show that noise-informed gates enhance median algorithmic performance by a factor of four over baseline Gaussian gates using the same calibration procedures. Lastly, we provide numerical evidence that optimized gate sets enable larger qubit-qubit coupling strengths that can cut two-qubit gate times in half. This result confirms that hardware-software co-design using quantum optimal control can create new opportunities for quantum computing architectures.

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Andy J. Goldschmidt, Emilio Peláez Cisneros, Ryan Sitler, Kevin Olsson, Kaitlin N. Smith, Gregory Quiroz. 2026-03-16. Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets. https://arxiv.org/abs/2603.15758

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