4 papers
Learning to Decode Concatenated Quantum Codes with Hierarchical Message Passing
Jiahui Wu, Chao Zhang, Zipeng Wu +1
We introduce a neural message-passing framework for decoding general concatenated stabilizer codes. Soft beliefs propagate bidirectionally across concatenation levels, and lightwei…
Bidirectional Decoding for Concatenated Quantum Hamming Codes
Chao Zhang, Zipeng Wu, Jiahui Wu +1
High-rate concatenated quantum codes offer a promising pathway toward fault-tolerant quantum computation, yet designing efficient decoders that fully exploit their error-correction…
Investigating Pure State Uniqueness in Tomography via Optimization
Jiahui Wu, Zheng An, Chao Zhang +3
Quantum state tomography (QST) is crucial for understanding and characterizing quantum systems through measurement data. Traditional QST methods face scalability challenges, requir…
Dual-Capability Machine Learning Models for Quantum Hamiltonian Parameter Estimation and Dynamics Prediction
Zheng An, Jiahui Wu, Zidong Lin +3
Recent advancements in quantum hardware and classical computing simulations have significantly enhanced the accessibility of quantum system data, leading to an increased demand for…