Dr. Thiparat Chotibut, a theoretical and computational physicist, simplified the concepts of quantum computing, breaking down the fundamental principles and their implications in Sasin Demystified Podcast. According to his LinkedIn profile, Dr. Thiparat converges computer science and physics, specializing in theoretical frameworks and computational tools. He holds a Ph.D. in Theoretical Physics from Harvard University and works on innovative machine learning algorithms, drawing from computational neuroscience and quantum physics. He explained that quantum computing combines “quantum” and “computing.” Traditional computing relies on bits, which can be 0 or 1 but not both, akin to a light switch that can be either on (1) or off (0). “People have considered: why not replace a bit, which can represent only one of two states, with a qubit capable of representing any combination of those states. This would enhance the fundamental unit’s information and storage processing capabilities,” said Dr. Thiparat. With this in mind, quantum computing introduces “superposition,” allowing quantum bits (qubits) to exist in multiple states simultaneously. This unique property empowers quantum computers for specific tasks. Dr. Thiparat said that this is like tossing a coin where it will either land as heads or tails. However, in the quantum realm, that coin is like a spinning coin in mid-air before it lands. Dr. Thiparat said that quantum computing leverages quantum mechanics principles like superposition to solve problems beyond the classical computers’ capacity. Traditional chemistry, involving the interaction of multiple atoms and molecules, can be a complex and time-consuming process. Quantum computers offer the potential to simulate these processes, allowing for more efficient drug and pharmaceutical developments.

“At some point, a corner of the world may adopt quantum computing, at which point people will take it very seriously. It’s conceivable that 30 years from now, we won’t have a clear vision of what that world will resemble.” – Dr. Thiparat Chotibut, Physicist and Head of Chula Intelligent and Complex Systems Lab, and Chief Global Officer of Quantum Technology Foundation, Thailand

In agriculture and energy production, quantum computing can create a substantial impact. For instance, creating fertilizer involves a significant energy expenditure. By using quantum simulations, it may be possible to develop more efficient fertilizer production methods, saving energy and reducing costs. Finance is another sector that can benefit from quantum computing. Dr. Thiparat’s work focuses on optimization, including finding the optimal methods for tasks such as mail delivery and cost-efficient car routing. Additionally, he collaborates with Kasikorn Business Technology Group (KBTG) to develop algorithms for optimizing loan collection, aiming to maximize loans while preserving the clients’ welfare. Roy Tomizawa, Chief Executive of Sasin Executive Education, brought up the point of the Traveling Salesman Problem (TSP), which is an example of a classic optimization challenge. It involves finding the shortest route that visits a set of destinations and returns to the starting point. As the number of destinations increases, the problem becomes exponentially more complex. By leveraging superposition, quantum computers may revolutionize logistics and routing in various industries. While the focus has been on the potential applications of quantum computing, it’s essential to consider its impact on blockchain and cryptocurrency. Quantum computers have the potential to crack many encryption methods currently used in blockchain technology. Dr. Thiparat said that various industries are recruiting physicists and experts in quantum physics to bring a deep understanding of the quantum world, enabling them to develop algorithms and solutions tailored to industry-specific problems. While we await the development of a quantum computer that can efficiently solve optimization problems, many companies with substantial resources are dipping their toes into quantum computing. These organizations are setting up small quantum units to explore the potential of this revolutionary technology within their operations. This approach allows them to formulate strategies that will be ready to execute when a viable quantum computer becomes available. The quest for quantum supremacy has sparked a global race to develop the best quantum computing technology. Major players, including IBM and Google, have invested heavily in superconducting qubits. IonQ, a quantum computing hardware and software company in Maryland, employs ion trap technology, while Microsoft explores Majorana qubits, known for their resistance to noise. Australia is working on silicon-based quantum systems. Governments are investing heavily in quantum technology, and cybersecurity concerns, particularly related to hacking, are mounting. The first country to harness quantum capabilities could gain significant advantages in national security. The intersection of quantum computing and artificial intelligence (AI) is another fascinating area to explore. Quantum computing has the potential to significantly accelerate AI development by reducing energy consumption during AI model training. This would pave the way for more advanced AI applications in areas like self-driving cars and city infrastructure. “Quantum scientists were hoping that with quantum computers, there could be an alternative way to create something as intelligent as AI but with significantly lower energy costs from powerful quantum and computational processing,” he said, adding, “This could lead to the possibility of creating AI at a much safer energy cost, for example, with a minimal carbon footprint, allowing for greater investment and faster progress.” Dr. Thiparat concluded that with countries investing in quantum computing research, the future remains uncertain with boundless possibilities.   For more information about Sasin Demystified Programs, CLICK HERE.