6 papers · 1 filter
Lifting connectivity bottlenecks in superconducting quantum processors via enriched native two-qubit gates
Hanyi Wang, Jingzhe Guo, Lijun Sun +17
Limited qubit connectivity is a central architectural constraint in superconducting quantum processors, whose planar layouts require additional gates to mediate interactions betwee…
Bunny Codes: Broadening Superconducting Quantum Error Correction Capability through Advanced Control Engineering
Runshi Zhou, Xingye Yuan, Linghang Kong +4
Drawing on advances in superconducting qubit control schemes that unlock enriched native gate sets at the hardware level, we systematically examine how harnessing this enlarged phy…
Optimal Compilation of Syndrome Extraction Circuits for General Quantum LDPC Codes
Kai Zhang, Dingchao Gao, Zhaohui Yang +4
Quantum error correcting codes (QECC) are essential for constructing large-scale quantum computers that deliver faithful results. As strong competitors to the conventional surface…
SesQ: A Surface Electrostatic Simulator for Precise Energy Participation Ratio Simulation in Superconducting Qubits
Ziang Wang, Shuyuan Guan, Feng Wu +6
An accurate and efficient numerical electromagnetic model for superconducting qubits is essential for characterizing and minimizing design-dependent dielectric losses. The energy p…
Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction
Kai Zhang, Zhengzhong Yi, Shaojun Guo +13
Fast, reliable decoders are pivotal components for enabling fault-tolerant quantum computation (FTQC). Neural network decoders like AlphaQubit have demonstrated potential, achievin…
SurgeQ: A Hybrid Framework for Ultra-Fast Quantum Processor Design and Crosstalk-Aware Circuit Execution
Xinxuan Chen, Hongxiang Zhu, Zhaohui Yang +4
Executing quantum circuits on superconducting platforms requires balancing the trade-off between gate errors and crosstalk. To address this, we introduce SurgeQ, a hardware-softwar…