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

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quant-ph2026

Fast continuous ion transport through X-junctions with low motional excitation for QCCD architectures

Jie Xiao, Zhao Wang, Chenghong Zhu +4

Trapped ion quantum computing based on the quantum charge coupled device (QCCD) architecture uses functional zoning and ion transport to enable high fidelity computation and all to…

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

MERA: A Mid-Circuit-Measurement Error-Aware Compilation Framework for Quantum Circuits

Ming Zhong, Zhemin Zhang, Xiangyu Ren +3

Mid-circuit measurement (MCM) enables qubit reuse and dynamic control in quantum processors, underpinning resource-efficient algorithms and quantum error correction. However, MCM i…

quant-ph2025★ 1 cited

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…

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…