Learning, Intelligence And 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:

• Major focus: Hardware Software Co-design for Quantum Computing: Quantum architecture design, compilation optimization, control and calibration.

• Medium focus: QEC decoder, efficient QEC framework design, hybrid classical - quantum framework, quantum hardware security

• Side focus: 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 internship 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. Our undergrad interns even published paper on top conferences like ISCA, DAC, ICCAD, etc, as first author.

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 (but also depends on the funding).

My RA positions are very limited, CUHK RAship is quite expensive (almost similar montly stipend as HKPFS), the priority of RAship will offer to the incoming PhD students who need transitions. If you are graduated and seeking for a RA position for transition, unfortunately, we donot have such opening recently.

Consider to try FatQat, Write the quantum program once. Decide later how much of the underlying machine you want to model.

At the circuit level, FatQat is intentionally designed to feel familiar to Qiskit users. For standard circuit construction and simulation, the programming model requires minimal change in how users think or work.

But the real difference becomes visible when moving beyond ideal circuits—to native hardware operations, neutral-atom systems, calibrated pulses, or Hamiltonian-level dynamics. The Photonics systems (MBQC based) will supported soon, we've built up the compiler and simulator, however, photonics system within more layers than SC and NA, should be supported soon! Try, feedback, and contribute!!!!

About CUHK

The Chinese University of Hong Kong (CUHK) is a world-renowned public research university founded in 1963, distinguished as the only collegiate university in Hong Kong. Consistently ranked among the top 50 universities globally and a leader in Asia, CUHK is recognized for its academic and research excellence. CUHK is home to a world-class Department of Computer Science and Engineering (CSE). In the U.S. News Best Global Universities for Computer Science 2025 rankings, our department is placed 7th in the world. Furthermore, according to CSRankings.org (2015-2025), a key metric for publications in top-tier venues, we rank #1 in Hong Kong across multiple core areas, including Artificial Intelligence, Computer Vision, and Cryptography, and we rank #1 in the world in Design Automation.