Research group for quantum information and computation
Research Field
Professor Hsi-Sheng Goan received his Ph.D. degree in physics from the University of Maryland, College Park, USA, in 1999. He then worked as a Postdoctoral Research Fellow at the University of Queensland, Brisbane, Australia, from 1999 to 2001. From 2002 to 2004, he was a Senior Research Fellow, awarded the Hewlett-Packard Fellowship, at the Center for Quantum Computer Technology at the University of New South Wales, Sydney, Australia, before taking up a faculty position in the Department of Physics at National Taiwan University (NTU) in 2005. He has been a Professor of Physics at NTU since 2011, working in the fields of Quantum Computing and Quantum Information, Quantum Control, Open Quantum Systems, Mesoscopic (Nano) Physics, Quantum Optics, and Quantum Optomechanical and Electromechanical Systems. He is currently the Director of the Center for Quantum Science and Engineering at NTU, and the Director of the IBM Quantum Hub at NTU. He has been an author and co-author of more than 100 research papers and 5 chapters in monographs or books. He has delivered more than 60 invited talks/lectures at international conferences, workshops, meetings, and schools. He has served on the Editorial Boards of several international scientific journals, including EPJ: Quantum Technology, International Journal of Quantum Information, and Chinese Journal of Physics.
Our research group at the Department of Physics and the Center for Quantum Science and Engineering in National Taiwan University, led by Prof. Hsi-Sheng Goan, explores various aspects of quantum information science. Our members possess a vast array of expertise, and everyone has the opportunity to be exposed to multiple facets of quantum information, and has access to numerous research resources. We also collaborate with many groups and organizations, both domestic and international.
- Quantum machine learning
- Quantum optimization
- Quantum computational chemistry
- Quantum key distribution
- Quantum computing
- Open quantum systems
- Quantum control
- Mesoscopic (Nano) physics
- Quantum error mitigation and error correction
Research Group website: https://web.phys.ntu.edu.tw/goan/
- 2023 Center for Theoretical Physics Publication Awards (NTU)
- 2010, 2011, 2012, 2018, 2019, 2021, 2023 Outstanding Teaching Awards (NTU)
- 2002–2004, Hewlett-Packard Fellowships (University of New South Wales)
- Ph.D. in Physics, 1999; University of Maryland, College Park, MD, USA
Job Description
NA.
Preferred Intern Educational Level
Preferred Intern Educational Level
- Current graduate students (Master's or Ph.D.) in Physics, Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or related fields
- Advanced undergraduate students (junior or senior year) with strong academic records and relevant coursework may also be considered
Skill sets or Qualities
Required Skills
- Strong foundation in quantum mechanics and linear algebra
- Programming proficiency in Python and familiarity with scientific computing libraries (NumPy, SciPy, Pandas)
- Machine learning background with knowledge of neural networks, optimization algorithms, and standard ML frameworks (TensorFlow, PyTorch, or scikit-learn)
- Image processing fundamentals, including digital image representation, transformations, and basic computer vision concepts
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills in English
Preferred Skills
- Experience with quantum computing frameworks (Qiskit, Cirq, PennyLane, or similar)
- Knowledge of quantum algorithms (quantum Fourier transform, variational quantum algorithms, quantum neural networks)
- Familiarity with quantum information theory concepts
- Experience with deep learning architectures for computer vision (CNNs, transformers)
- Prior research experience or publications in related fields
Personal Qualities
- Self-motivated and independent with the ability to work with minimal supervision
- Intellectually curious with a passion for exploring emerging technologies
- Detail-oriented with strong organizational skills
- Collaborative team player who thrives in interdisciplinary environments
- Adaptable and resilient when facing research challenges
- Strong commitment to academic integrity and research ethics