Quantum Computing's Technological Leap: Now a Real-World Challenge Smartphones, computers, and even digital watches we use are all products of classical computing technology. While existing computing technology has steadily grown for about 80 years, becoming the foundation of our daily lives and industrial environments, a technology capable of elevating it to an entirely new level has recently garnered attention. This is 'quantum computing.' Quantum computers operate on principles entirely different from traditional computers. They perform calculations by utilizing the core principles of quantum mechanics: superposition and entanglement. It is estimated that this technology has the potential to solve problems that would take classical computers hundreds or thousands of years to process, in mere seconds. MIT Technology Review recently diagnosed through an in-depth analysis that quantum computing is no longer a theoretical concept confined to laboratories but is evolving into a practical tool for solving real-world industrial problems. It's hard to even imagine the changes this technology could bring to our daily lives and industries if it continues to advance. Quantum computing has made remarkable progress in recent years. According to MIT Technology Review, advancements in qubit stability and error correction technology are considered the cornerstone of this progress. A qubit is the most basic unit of information in quantum computing. Unlike a classical bit, which can only be in a state of 0 or 1, a qubit can exist in both 0 and 1 states simultaneously due to the superposition effect of quantum mechanics. Furthermore, through entanglement between qubits, they can exchange information and perform complex calculations even when physically separated. The development of error correction technology, in particular, is considered the most crucial breakthrough for the commercialization of quantum computing. Quantum states are inherently unstable and easily collapse due to minute changes in the external environment, a phenomenon known as 'decoherence.' MIT Technology Review reported that recent research has succeeded in significantly reducing error rates by combining multiple physical qubits to implement logical qubits. Indeed, in 2023, Google and IBM each announced significant milestones in error correction technology. Google demonstrated the potential of quantum computing in 2019 through the concept of 'Quantum Supremacy.' Google's 53-qubit processor, 'Sycamore,' solved a specific mathematical problem in 200 seconds. At the time, Google's research team claimed that the same problem would take the world's most powerful supercomputer approximately 10,000 years to solve, shocking the global scientific and industrial communities. However, IBM presented a somewhat different perspective on Google's findings. IBM's research team countered that the same problem could be solved within days using classical supercomputers with optimized algorithms, assessing that this achievement was still insufficient to translate into practical problem-solving. This debate highlights that quantum computing technology is still in its early stages and that academic consensus is needed on the definition and practical implications of 'quantum supremacy.' Nevertheless, quantum computing technology is being discussed as a key to revolutionizing existing industrial problems. Korea's Institute for Basic Science (IBS) Center for Quantum Information has also been heavily investing in quantum error correction technology development since 2022. The center director stated, 'Our goal is to lay the technological foundation for implementing practical quantum algorithms within the next five years.' The process of moving towards the commercialization of quantum technology is no longer just about technological development; it is increasingly entering the realm of practical applications aimed at solving industrial problems. According to MIT Technology Review's analysis, the potential of quantum computing is expected to be realized first in drug discovery. It is gaining attention for its ability to process complex calculations, such as simulating specific protein structures, much faster and more accurately than current quantum computers. Indeed, pharmaceutical company Roche partnered with Google in 2021 to launch a drug discovery project using quantum computing, and Pfizer is also collaborating with IBM to optimize mRNA vaccine development processes. Commercialization Race Led by Front-Running Companies like Google and IBM Furthermore, quantum computing could serve as a crucial key in solving problems that were previously difficult to even approach, such as spacecraft design and optimization, analysis of complex material properties, and climate change prediction. In the financial sector, JP Morgan Chase and Goldman Sachs are piloting quantum algorithms for portfolio optimization and risk analysis. In cryptography, the potential implementation of Shor's algorit