Xiaoyuan Liu

According to our database, Xiaoyuan Liu authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

CO-MAP: A Reinforcement Learning Approach to the Qubit Allocation Problem.

Ankit Kulshrestha, Xiaoyuan Liu

CoRR, May, 2026

QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning.

Kien X. Nguyen, Ankit Kulshrestha, Ilya Safro, Xiaoyuan Liu

CoRR, May, 2026

2025

Neural Architecture Search Algorithms for Quantum Autoencoders.

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro

CoRR, September, 2025

QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks.

Hanjing Xu, Xiaoyuan Liu, Alex Pothen, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2025

Partition-based Surface Code Compilation.

Hanjing Xu, Xiaoyuan Liu, Ankit Kulshrestha, Hayato Ushijima-Mwesigwa

Proceedings of the IEEE High Performance Extreme Computing Conference, 2025

2024

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits.

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

2023

Learning To Optimize Quantum Neural Network Without Gradients.

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro

CoRR, 2023

An Ising-based Model for Qubit Mapping.

Hayato Ushijima-Mwesigwa, Xiaoyuan Liu

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Learning to Optimize Quantum Neural Networks Without Gradients.

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Decomposition Based Refinement for the Network Interdiction Problem.

Krish Matta, Xiaoyuan Liu, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs.

Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Leveraging special-purpose hardware for local search heuristics.

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy

Comput. Optim. Appl., 2022

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator.

Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Towards Practical Explainability with Cluster Descriptors.

Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Partitioning Dense Graphs with Hardware Accelerators.

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro

Proceedings of the Computational Science - ICCS 2022, 2022

2021

ELRUNA: Elimination Rule-based Network Alignment.

Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro

ACM J. Exp. Algorithmics, 2021

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers.

Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio

CoRR, 2021

Transferability of optimal QAOA parameters between random graphs.

Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

2019

On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware.

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy

CoRR, 2019

Network Alignment by Propagating Reliable Similarities.

Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro

CoRR, 2019