Quantum computer outperforms classical supercomputers in approximate optimization tasks. [English]

Author: Daniel Lidar | Source: USC Today | Read the full article in English

In a groundbreaking study, researchers have demonstrated that quantum computers can solve complex optimization problems more efficiently than traditional supercomputers. This breakthrough, known as "quantum advantage," represents a significant leap forward in computational technology. The research focused on quantum annealing, a specialized form of quantum computing that can find near-optimal solutions to challenging problems.

The team used a unique approach that doesn't require perfectly exact solutions, which is actually more practical for many real-world scenarios. By using a quantum annealing processor and implementing an error-suppression technique, they were able to overcome previous limitations that have plagued quantum computing. This means the computer can tackle complex problems like financial portfolio optimization or other intricate computational challenges more effectively than ever before.

What makes this research particularly exciting is its potential for future applications. The researchers showed that quantum computers don't need to find the absolute perfect solution to be useful – they just need to get very close. This opens up new possibilities for solving complex problems in fields like finance, science, and technology. While the technology is still developing, this study represents a significant step towards making quantum computing a practical tool for solving real-world challenges.

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