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20242026
most citedCompilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling

11 citations · 21 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2026

FT-Weave: Real-Time Compilation Framework for Reconfigurable Fault-Tolerant Quantum Architectures

Wan-Hsuan Lin, Milan Kornjača, Chen Zhao +2

Fault-tolerant quantum computing (FTQC) is essential for large-scale quantum computation, but realizing useful application throughput requires coordinating resource preparation, as…

quant-ph2026

Architecture and Compilation Co-Design for High-Rate Quantum Product Codes on Neutral Atom Arrays

Adrian Liu, Wan-Hsuan Lin, Daniel Bochen Tan +2

Achieving fault-tolerant quantum computing at a practical scale demands quantum error correction (QEC) codes with high encoding rates. Quantum low-density parity-check (qLDPC) code…

quant-ph2026

Strategic Plan for Neutral Atom Quantum Computation

Adrian J. Menssen, Tout Wang, Michael Gullans +53

We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal of practical quantum advantage.…

quant-ph2026

ffsim: Faster simulation of fermionic quantum circuits

Kevin J. Sung, Inho Choi, Mirko Amico +14

We present ffsim, an open-source software library for fast simulation of fermionic quantum circuits. ffsim exploits conservation of particle number and the z component of spin, sym…

cs.LG2025

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation

Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen +2

Automation of analog topology design is crucial due to customized requirements of modern applications with heavily manual engineering efforts. The state-of-the-art work applies a s…

quant-ph2025

Compilation of QCrank Encoding Algorithm for a Dynamically Programmable Qubit Array Processor

Jan Balewski, Wan-Hsuan Lin, Anupam Mitra +5

Algorithm and hardware-aware compilation co-design is essential for the efficient deployment of near-term quantum programs. We present a compilation case-study implementing QCrank…

quant-ph2025★ 1 cited

A High-Performance Multilevel Framework for Quantum Layout Synthesis

Shuohao Ping, Naren Sathishkumar, Wan-Hsuan Lin +2

Quantum Layout Synthesis (QLS) is a critical compilation stage that adapts quantum circuits to hardware constraints with an objective of minimizing the SWAP overhead. While heurist…

quant-ph2025★ 1 cited

Routing-Aware Placement for Zoned Neutral Atom-based Quantum Computing

Yannick Stade, Wan-Hsuan Lin, Jason Cong +1

Quantum computing promises to solve previously intractable problems, with neutral atoms emerging as a promising technology. Zoned neutral atom architectures allow for immense paral…

quant-ph2025

Assessing Quantum Layout Synthesis Tools via Known Optimal-SWAP Cost Benchmarks

Shuohao Ping, Wan-Hsuan Lin, Daniel Bochen Tan +1

Quantum layout synthesis (QLS) is a critical step in quantum program compilation for superconducting quantum computers, involving the insertion of SWAP gates to satisfy hardware co…

quant-ph2024★ 8 cited

Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms

Wan-Hsuan Lin, Daniel Bochen Tan, Jason Cong

Quantum computing architectures based on neutral atoms offer large scales and high-fidelity operations. They can be heterogeneous, with different zones for storage, entangling oper…

quant-ph2024

ML-QLS: Multilevel Quantum Layout Synthesis

Wan-Hsuan Lin, Jason Cong

Quantum Layout Synthesis (QLS) plays a crucial role in optimizing quantum circuit execution on physical quantum devices. As we enter the era where quantum computers have hundreds o…

cs.ET2024★ 11 cited

Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling

Daniel Bochen Tan, Wan-Hsuan Lin, Jason Cong

Dynamically field-programmable qubit arrays based on neutral atoms feature high fidelity and highly parallel gates for quantum computing. However, it is challenging for compilers t…