Prabhas Chongstitvatana

portrait

Professor Prabhas Chongstitvatana works at Chulalongkorn University's Department of Computer Engineering. In 1992, he received his Ph.D. from Edinburgh University's artificial intelligence department in the United Kingdom. He conducts research in the fields of computer architecture, robotics, bioinformatics, quantum computing, and evolutionary computation.  He is a senior adviser for the Thai Robotics Society, a senior member of the Thai Academy of Science and Technology, and a lifelong member of the Thailand Engineering Institute.  From 2012 to 2013, he presided over the ECTI Association of Thailand.  The National Research Council of Thailand named him a "National Distinguished Researcher" in 2009.  Constructing a quantum computer is his current passion.

office:  Faculty of Engineering, Chulalongkorn University, Eng. Build 4, Floor 18, room 12, tel 02-2186982.

email :  prabhas dot c at chula dot ac dot th

Research Highlight

Publication List

Top ten most cited articles (update May 2025)

Quantum Computing (most recent 2025)

Simulating Coupled Oscillators on Quantum Circuits

Simulating large-scale coupled-oscillator systems presents substantial computational challenges for classical algorithms, particularly when investigating the thermodynamics limit from first principles.

We present and implement an explicit quantum circuit to efficiently simulate one-dimensional coupled-oscillator systems. Our quantum simulation results show excellent agreement with classical methods, showcasing a practical implementation of Hamiltonian simulation and highlighting the potential for circuit-based algorithm to simulate many-body systems on larger-scale quantum computers.

Luangsirapornchai, N., Sanglaor, P., Apimuk Sornsaeng, A., Bressan, S., Chotibut, T., Suksen, K., Chongstitvatana, P., "Practical Quantum Circuit Implementation for Simulating Coupled Classical Oscillators," IEEE Access, early access, 14 March 2025, (abstract) DOI: 10.1109/ACCESS.2025.3551308
Keywords: Oscillators, Encoding, Springs, Quantum circuit

Hardware Compact Genetic Algorithm

Genetic Algorithm is an optimization technique based on probabilistic search.  It is a sub-field of Artificial Intelligence. It is widely used in industry because it is simple and effective.  Hardware Compact Genetic Algorithm is an embodiment of the algorithm into digital circuits, achieving 1000 times speed up over the software incarnation.
Keywords: Compact Genetic Algorithm, Hardware implementation.
Aportewan and Chongstitvatana, 2001 #5

Coincidence Algorithm

Coincidence Algorithm is an optimization algorithm for combinatorial problems.  There are many uses in industry such as scheduling assembly line, inventory control, logistics etc.  A unique characteristic of Coincidence Algorithm is its use of the negative examples to improve the quality of the solution.  Presently, negative-c