Chair: Assoc. Prof. Dr. Anucha Watcharapasorn
Co-Chair: Asst. Prof. Dr. Narupon Chattrapiban
Co-Chair: Asst. Prof. Dr. Sujin Suwanna
Co-Chair: Dr. Pimonpan Sompet
Co-Chair: Dr. Nithiwadee Thaicharoen
Co-Chair: Dr. Nuttachai Jutong
As the world moves forward to achieve sustainable developments, how Quantum Science and Technology can help pave the way to attain these goals is certainly a great challenge. It has recently become apparent that with worldwide academic and research collaboration, the transition from basic quantum research to commercial applications will create the next generation of disruptive technologies that will impact local and global societies in various aspects. This symposium aims to introduce advances in quantum science and technologies that provide better solutions to grand challenges in such fields as energy, health, security and environment. Based on “superposition”, a property from which objects can be in different states at the same time, and “entanglement”, where they can be inherently correlated without any direct physical interaction, Quantum Mechanics can be implemented in a wide range of applications. For example, quantum computation can provide a breakthrough in the design of new chemical processes, new materials and medical drugs, new paradigms in machine learning and artificial intelligence. With the effects of quantum entanglement, data can be completely and securely protected within the network and in long-range communication. Quantum technologies will also give rise to clocks and sensors with unmatched sensitivity and accuracy, with potential impact in navigation, synchronization of future smart networks and medical diagnostics.
Potential Topics
All contributed presentations and papers from academia, research institutes, private sectors and industries are welcome. The symposium aims to cover the following (but not limited to) topics in theory, simulation and experiment.
- Quantum computation, including quantum simulation, quantum computing software and algorithms, quantum control, quantum machine learning,
- Quantum materials science, including quantum engineering
- Quantum metrology, sensing and imaging
- Quantum communication, including quantum network, cryptography, quantum key distribution, quantum internet
- Quantum information
- Foundation of quantum theory, including measurement theory, quantum trajectories, quantum stochastic process
- Applications of quantum in fields such as economics, finance, and other sciences