collaborators

6 papers

quant-ph2026

Absence of poor local minima in matrix product states

Hao-Kai Zhang, Chenghong Zhu, Shuo Liu +2

Quantum circuits suffer from severe trainability issues: even shallow circuits are swamped with poor local minima. Yet matrix product states (MPS), which can be prepared by sequent…

quant-ph2026

Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation

Jiahan Chen, Chenghong Zhu, Ge Bai +1

Fault-tolerant quantum computation (FTQC) critically depends on real-time classical decoding, which is rapidly emerging as a system bottleneck. As quantum systems scale, decoding l…

quant-ph2026

O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling

Chenghong Zhu, Xian Wu, Jiahan Chen +4

Toward the large-scale, practical realization of quantum computing, quantum error correction is essential. Among various quantum error-correcting codes, the surface code stands out…

quant-ph2025

A Compilation Framework for Quantum Circuits with Mid-Circuit Measurement Error Awareness

Ming Zhong, Zhemin Zhang, Xiangyu Ren +3

Mid-circuit measurement (MCM) provides the capability for qubit reuse and dynamic control in quantum processors, enabling more resource-efficient algorithms and supporting error-co…

quant-ph2025

PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices

Zhaohui Yang, Dawei Ding, Chenghong Zhu +2

Variational quantum algorithms (VQA) based on Hamiltonian simulation represent a specialized class of quantum programs well-suited for near-term quantum computing applications due…

quant-ph2025

Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems

Chenghong Zhu, Xian Wu, Zhaohui Yang +4

Quantum hardware development is progressing rapidly with substantial advancements achieved across leading platforms, including superconducting circuits, trapped-ion systems, and ne…