KB Securities noted on the 26th that the quantum computer market is expected to begin commercialization within the next five years, around 2030. Recently, U.S. big tech companies, including IBM, Google, and Microsoft, have successfully overcome the barriers to quantum computer commercialization, including quantum errors and integration limits, thanks to the development of quantum chips.
Kim Dong-won, a researcher at KB Securities, said, 'Considering that one million qubits is a benchmark for the commercialization of quantum computers, the quantum computer market is expected to begin commercialization within the next five years, around 2030.' A qubit refers to a state that simultaneously holds both 0 and 1. Traditional computers represent information using binary code, consisting of 0 and 1, whereas quantum computers utilize qubits that can embody both states at once. Therefore, quantum computers can operate much faster than traditional computers.
Research Institute Kim stated, 'For quantum computers to be commercialized, the number of qubits must increase, and they must have a low error rate,' adding that 'IBM's goal is to develop a quantum computer capable of rapid data processing with an increase in qubits and error correction functions by 2029.'
According to IBM's quantum computer development roadmap, the number of qubits was 1,121 last year, projected to be 5,000 this year, 7,500 by 2026, 15,000 by 2028, and 100 million by 2029. Research Institute Kim remarked, 'Considering that one million qubits is a benchmark for the commercialization of quantum computers, the quantum computer market is expected to begin commercialization within the next five years, around 2030.'
In November last year, IBM released the Quantum Heron, the most powerful quantum processor currently available, and in December, Google unveiled the Willow quantum chip, which surpassed the performance of the fastest supercomputer in the world, Frontier. Earlier this month, Microsoft showcased the Majorana1 quantum chip, which addresses frequent errors stemming from its sensitivity to external environmental changes, such as temperature and magnetic fields.
Research Institute Kim projected, 'If artificial intelligence (AI) and quantum computers combine in the future, it will break through the limitations of computational performance and power consumption inherent in existing AI hardware, such as central processing units (CPUs) and graphics processing units (GPUs), accelerating the training and inference of ultra-large AI models at lower expenses.'
He continued, 'The Korea Advanced Institute of Science and Technology has successfully implemented a three-dimensional quantum entanglement structure experimentally to address the issue of rapidly increasing quantum errors as the number of qubits increases, creating a turning point to reduce errors. In particular, integrating AI into the operation of quantum computers could correct and control the quantum errors that are a vulnerability of quantum computers, indicating that the combination of AI and quantum technologies is expected to generate a large-scale synergy effect.'