Tianyi Hao

Orcid: 0000-0003-4074-4971

Affiliations:
  • University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA
  • JPMorganChase, New York, NY, USA (former)
  • Argonne National Laboratory, Lemont, IL, USA (former)
  • Stanford University, Department of Computer Science, Stanford, CA, USA (former)
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (former)


According to our database1, Tianyi Hao authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
tqec: A Python package for topological quantum error correction.
J. Open Source Softw., March, 2026

Reducing T Gates with Unitary Synthesis.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm.
CoRR, April, 2025

2024
Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization.
CoRR, 2024

End-to-End Protocol for High-Quality QAOA Parameters with Few Shots.
CoRR, 2024

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
CoRR, 2024

Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Tetris: A Compilation Framework for VQA Applications in Quantum Computing.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Combining Parameterized Pulses and Contextual Subspace for More Practical VQE.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization.
CoRR, 2022

A quantum-inspired tensor network method for constrained combinatorial optimization problems.
CoRR, 2022

2020
Efficient 2D tensor network simulation of quantum systems.
Proceedings of the International Conference for High Performance Computing, 2020


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