The paper presents an experimental realization of robust quantum gates in superconducting quantum circuits, addressing the challenge of improving gate fidelity in realistic integrated quantum circuits. The authors introduce a geometric framework for diagnosing and correcting various gate errors, demonstrating robust single-qubit gates against quasi-static noise and spatially correlated noise. They also apply their method to non-static noises and achieve robust two-qubit gates. The robust gates are designed to suppress coherent errors, which are common in large-scale quantum circuits, and show superior performance in correcting errors from static frequency detuning and ZZ-type crosstalk. The robustness of the gates is quantified using quantum process tomography and randomized benchmarking, showing reduced worst-case errors compared to conventional gates. The results highlight the effectiveness of the proposed robust gates in enhancing the overall circuit performance and fidelity, making them a promising tool for achieving high-quality large-scale quantum computing.The paper presents an experimental realization of robust quantum gates in superconducting quantum circuits, addressing the challenge of improving gate fidelity in realistic integrated quantum circuits. The authors introduce a geometric framework for diagnosing and correcting various gate errors, demonstrating robust single-qubit gates against quasi-static noise and spatially correlated noise. They also apply their method to non-static noises and achieve robust two-qubit gates. The robust gates are designed to suppress coherent errors, which are common in large-scale quantum circuits, and show superior performance in correcting errors from static frequency detuning and ZZ-type crosstalk. The robustness of the gates is quantified using quantum process tomography and randomized benchmarking, showing reduced worst-case errors compared to conventional gates. The results highlight the effectiveness of the proposed robust gates in enhancing the overall circuit performance and fidelity, making them a promising tool for achieving high-quality large-scale quantum computing.