Laboratory for Innovative and Advanced Next-Gen Computing

Welcome to the Laboratory for Innovative and Advanced Next-Gen Computing (LIANG)!

We are currently actively recruiting research intern to work on the following topics:

• Hardware Software Co-design for Quantum Computing

• FT Algorithms, NISQ Algorithms, and Quantum Error Correction Code

• Quantum Machine Learning, Quantum Optimization, Quantum Federated Learning, etc., for Real World Applications

I would strongly encourage students interested in quantum computing, even if they do not have deep knowledge in this field, to apply for opportunities in our lab. However, applicants should possess strong coding skills, excellent English communication abilities, and a good personality, as we aim to maintain a positive lab environment. If you have concerns about the career path in quantum computing, I am more than willing to share my insights.

For training PhD students, while research ability is our primary focus, we also emphasize social skills and public speaking abilities. These are crucial for your research, personal network, and future career. I encourage students to attend conferences, even if they have not published papers there.

News

• One paper accepted by Scientific Reports, cheers!

• One Paper accepted by TQE, Cheers!

• Receive the IBM Research Grant!

• Organize the "HPC/AI Integration with Quantum Computing(HAIQ) " Workshop at HPCA 2025.

• Organize the "Bridging Quantum Technologies with Industry Needs" Special Session at ISCAS 2025.

• PI Liang selected to Sigma Xi, Congrats!

• Organize the QCAS workshop and "Exploring Quantum Technologies in Practical Applications" Special Session at ICCAD 2024.

• Organize the 2024 DAC Early Career Workshop at DAC 2024.  

• One paper will appear on ICCAD 2024, Congrats Yuchen and Yidong! 

• One paper accepted by TCAD, Cheers! 

• One paper accepted by TVCG, Cheers! 

• Two papers accepted by DAC 2024, Cheers!

• PAN (also recognized as NAPA) (arxiv) is highlighted by IBM Qiskit!

• Organize the 2023 ACM/IEEE Contest for Machine Learning on Hardware at International Conference on Computer-Aided Design (ICCAD) -- Track 2: Quantum Computing for Drug Discovery Challenge! 

• One paper is accepted by the 7th International Conference on Quantum Techinques in Machine Learning (QTML), Cheers!

• One paper accepted to Quantum Science and Engineering Education track of QCE23, Cheers!

• One paper accepted to DAC 2023, Cheers! 

• One paper will appear on ICCAD 2022, Cheers! 

• One paper accepted to QCE 2022, Cheers! 

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