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Paper 1
Superconducting processor design optimization for quantum error correction performance
Xiaotong Ni, Ziang Wang, Rui Chao, Jianxin Chen
- Year
- 2023
- Journal
- arXiv preprint
- DOI
- arXiv:2312.04186
- arXiv
- 2312.04186
In the quest for fault-tolerant quantum computation using superconducting processors, accurate performance assessment and continuous design optimization stands at the forefront. To facilitate both meticulous simulation and streamlined design optimization, we introduce a multi-level simulation framework that spans both Hamiltonian and quantum error correction levels, and is equipped with the capability to compute gradients efficiently. This toolset aids in design optimization, tailored to specific objectives like quantum memory performance. Within our framework, we investigate the often-neglected spatially correlated unitary errors, highlighting their significant impact on logical error rates. We exemplify our approach through the multi-path coupling scheme of fluxonium qubits.
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