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20202026
most citedOptimal Layout Synthesis for Quantum Computing

109 citations · 314 across the 16 of their papers we have counts for

collaborators

16 papers

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-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

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

Quantum State Preparation Circuit Optimization Exploiting Don't Cares

Hanyu Wang, Daniel Bochen Tan, Jason Cong

Quantum state preparation initializes the quantum registers and is essential for running quantum algorithms. Designing state preparation circuits that entangle qubits efficiently w…

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…

cs.IT2024★ 4 cited

Quantum State Preparation Using an Exact CNOT Synthesis Formulation

Hanyu Wang, Bochen Tan, Jason Cong +1

Minimizing the use of CNOT gates in quantum state preparation is a crucial step in quantum compilation, as they introduce coupling constraints and more noise than single-qubit gate…

cs.ET2024★ 5 cited

Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization

Daniel Bochen Tan, Shuohao Ping, Jason Cong

Reducing control complexity is essential for achieving large-scale quantum computing. However, reducing control knobs may compromise the ability to independently address each qubit…

quant-ph2023★ 2 cited

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas

Hanrui Wang, Daniel Bochen Tan, Pengyu Liu +4

Neutral atom arrays have become a promising platform for quantum computing, especially the field programmable qubit array (FPQA) endowed with the unique capability of atom movement…

quant-ph2023★ 4 cited

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays

Hanrui Wang, Pengyu Liu, Daniel Bochen Tan +6

The neutral atom array has gained prominence in quantum computing for its scalability and operation fidelity. Previous works focus on fixed atom arrays (FAAs) that require extensiv…

quant-ph2023★ 41 cited

Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors

Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin +1

Dynamically field-programmable qubit arrays (DPQA) have recently emerged as a promising platform for quantum information processing. In DPQA, atomic qubits are selectively loaded i…

cs.AR2022

Domain-Specific Quantum Architecture Optimization

Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu +2

With the steady progress in quantum computing over recent years, roadmaps for upscaling quantum processors have relied heavily on the targeted qubit architectures. So far, similarl…

cs.ET2021★ 34 cited

Optimal Qubit Mapping with Simultaneous Gate Absorption

Bochen Tan, Jason Cong

Before quantum error correction (QEC) is achieved, quantum computers focus on noisy intermediate-scale quantum (NISQ) applications. Compared to the well-known quantum algorithms re…

cs.AR2020★ 109 cited

Optimal Layout Synthesis for Quantum Computing

Bochen Tan, Jason Cong

Recent years have witnessed the fast development of quantum computing. Researchers around the world are eager to run larger and larger quantum algorithms that promise speedups impo…

quant-ph2020★ 96 cited

Optimality Study of Existing Quantum Computing Layout Synthesis Tools

Bochen Tan, Jason Cong

Layout synthesis, an important step in quantum computing, processes quantum circuits to satisfy device layout constraints. In this paper, we construct QUEKO benchmarks for this pro…