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Can AI and quantum computing work together or become rivals?
In the early 1940s, the first tube computers began to solve problems that went beyond human capabilities. Massive computers were complex, specific, and generally unreliable, making them similar to modern quantum systems.
Like the first computers, quantum systems offer competitive advantages for companies with sufficient resources. According to Gartner's analysis, companies are now looking to optimize processes using quantum computing, although quantum superiority remains a subject of discussion. However, by combining classical and quantum computing, some financial institutions have already achieved certain advantages.
Large companies such as Toyota, Hyundai and ExxonMobil have already invested in quantum computing, hoping to make a breakthrough in battery development, optimizing logistics and reducing investment risks.
However, Gartner notes a shift in priorities towards generative AI, as most CEOs prefer technologies with a faster return on investment. Experts also emphasize the difficulties of comparing quantum systems from different suppliers due to differences in the quality of qubits and other factors.
In addition, quantum systems from different manufacturers are often optimized for specific workloads. For example, an IBM system may perform better in computational chemistry, and D-Wave systems may be better configured for optimization tasks such as route planning.
Gartner claims that real progress in quantum computing will come when quantum algorithms are developed to solve quantum problems, which will open up new horizons for solving classes of problems that are not available for classical computers.
In the early 1940s, the first tube computers began to solve problems that went beyond human capabilities. Massive computers were complex, specific, and generally unreliable, making them similar to modern quantum systems.
Like the first computers, quantum systems offer competitive advantages for companies with sufficient resources. According to Gartner's analysis, companies are now looking to optimize processes using quantum computing, although quantum superiority remains a subject of discussion. However, by combining classical and quantum computing, some financial institutions have already achieved certain advantages.
Large companies such as Toyota, Hyundai and ExxonMobil have already invested in quantum computing, hoping to make a breakthrough in battery development, optimizing logistics and reducing investment risks.
However, Gartner notes a shift in priorities towards generative AI, as most CEOs prefer technologies with a faster return on investment. Experts also emphasize the difficulties of comparing quantum systems from different suppliers due to differences in the quality of qubits and other factors.
In addition, quantum systems from different manufacturers are often optimized for specific workloads. For example, an IBM system may perform better in computational chemistry, and D-Wave systems may be better configured for optimization tasks such as route planning.
Gartner claims that real progress in quantum computing will come when quantum algorithms are developed to solve quantum problems, which will open up new horizons for solving classes of problems that are not available for classical computers.
