Abstract
Superconducting transmon qubits are a promising platform for quantum computation, yet they face significant fidelity degradation due to connectivity noise, particularly in the intermediate coupling regime where noise levels are substantial. While prior works suggest that high fidelity requires operating in regimes with strongly suppressed noise, maintaining such conditions under practical experimental constraints remains challenging. To address this, we investigate quantum gate operations in fully connected transmon rings, examining both SWAP and general circuits. Our study reveals that fidelity can be significantly enhanced by tuning gate operation durations, with local maxima emerging even under strong noise conditions. These fidelity enhancements occur consistently across different qubit numbers and operation types, and for specific initial states — particularly those with favorable symmetry or entanglement properties — the achieved fidelities approach quantum error correction thresholds. Furthermore, we develop a supervised machine learning model that accurately predicts the optimal operation durations for new devices, enabling efficient optimization without extensive experimental simulations. These results provide a pathway toward robust quantum circuit design in noisy experimental environments. © Higher Education Press 2026.
| Original language | English |
|---|---|
| Article number | 103201 |
| Journal | Frontiers of Physics |
| Volume | 21 |
| Issue number | 10 |
| Online published | 10 Apr 2026 |
| DOIs | |
| Publication status | Online published - 10 Apr 2026 |
Funding
The authors thank Jie Liu, Jiaohao Wu, Minquan He, Yan Zhu and Xiaotong Ni for fruitful discussions. This work is supported by the National Natural Science Foundation of China (Grant No. 12474489), the Shenzhen Fundamental Research Program (Grant No. JCYJ20240813153139050), the Guangdong Provincial Quantum Science Strategic Initiative (Grant Nos. GDZX2203001 and GDZX2403001), and the Quantum Science and Technology-National Science and Technology Major Project (Grant No. 2021ZD0302300).
Research Keywords
- connectivity noise
- machine learning
- operation duration tuning
- quantum circuit fidelity
- superconducting circuits
- transmon qubit
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