Zhiding Liang
Assistant Professor at The Chinese University of Hong Kong
South Bend, Indiana, United States
Summary
🤩
Rockstar🎓
Top SchoolZhiding Liang is an Assistant Professor and quantum software researcher with four years of hands-on experience building quantum-classical systems, currently focusing on pushing NISQ-era performance beyond gate-level abstractions. He completed a PhD in Computer Science and Engineering at Notre Dame and has held research positions at Yale, JPMorgan’s quantum team, and is an early faculty hire driving NSF- and IBM-funded projects. His engineering contributions include pulse-level control modules for the widely used torchquantum framework, extending it to simulate and manipulate low-level pulse parameters via Qiskit. Zhiding blends theoretical quantum machine learning with practical pulse-control implementation, enabling experiments closer to hardware realities. Based in South Bend, he brings a mix of academic rigor and industry collaboration experience, with a track record of translating low-level quantum control insights into open-source tools.
4 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at University of Wisconsin-MadisonDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Notre DameBachelor's degree, Computer Engineering, 4.0, Bachelor's degree, Computer Engineering, 4.0 at Auburn UniversityVisiting PhD Student, Quantum Computing, Visiting PhD Student, Quantum Computing at Yale UniversityCertificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning, 100/100, Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning, 100/100 at 2021 Qiskit Global Summer School on Quantum Machine Learning
English, Chinese
Github Skills (10)
simulations10
simulation10
quantum-computing10
pytorch10
machine-learning10
q-learning10
qiskit10
python10
simulator10
deep-learning9
Programming languages (2)
Github contributions (5)
mit-han-lab/torchquantum
Feb 2022 - Sep 2022
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Role in this project:
ML Engineer
ML EngineerContributions:23 commits, 14 pushes, 2 branches in 7 months
Contributions summary:Zhiding primarily contributed to pulse-level quantum circuit functionalities within the `torchquantum` framework. They created and updated modules related to pulse control, including `qiskit_pulse.py`, `pulse_utils.py`, and related initialization files, indicating an involvement in low-level quantum control design and implementation. Furthermore, the user focused on extracting and manipulating pulse parameters, integrating features for phase extraction, and implementing simulation methods using `qiskit`, effectively extending the framework's capabilities for pulse-level quantum simulations.
quantum-circuitscircuitssimulationcomputersquantum-simulation
zlianghahaha/zlianghahaha.github.io
Oct 2021 - Oct 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:97 pushes in 3 years
templategithub-pages-templatemmistakesmistakesjekyll
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