John Naughton’s article title rewritten: The potential impact of China and physics on computing power may dash our hopes for limitless capabilities.

John Naughton’s article title rewritten: The potential impact of China and physics on computing power may dash our hopes for limitless capabilities.

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What advances in Chinese physics are contributing to faster computing speeds?

The end of Moore’s law

For decades, engineers have relied on Moore’s law to boost the performance of computer processors. The law, named after Intel co-founder Gordon Moore, states that the number of transistors on a microchip doubles every two years, resulting in exponential growth in processing power. However, as transistors have become smaller and smaller, the law is nearing its limits.

Quantum computing

In recent years, researchers have been exploring the potential of quantum computing to surpass Moore’s law and unlock new levels of processing power. Quantum computers work by manipulating subatomic particles called qubits, which can exist in multiple states at once, allowing for vastly increased processing capabilities.

China’s breakthrough

China has emerged as a major player in the race for quantum computing supremacy. In 2020, the country claimed to have achieved “quantum supremacy” with a prototype machine that performed a calculation in 200 seconds that would take the world’s fastest supercomputer 2.5 billion years to complete. This breakthrough could pave the way for China to dominate the field of quantum computing for years to come.

The limits of physics

However, even quantum computing has its limitations. As physicist Seth Lloyd points out, “there’s a limit to how powerful quantum computers can be before they exhaust the resources of the universe.” In other words, there is a fundamental limit to the amount of processing power that any machine, whether classical or quantum, can achieve.

The implications for computing

The limits of Moore’s law and the potential limitations of quantum computing have significant implications for the future of computing. If we cannot rely on exponential growth in processing power, we may need to focus on other aspects of computing, such as energy efficiency and data optimization. We may also need to explore alternative technologies, such as neuromorphic computing, which mimics the structure and function of the human brain.

Conclusion

China’s breakthrough in quantum computing highlights the potential of this technology to revolutionize computing. However, the limits of physics mean that even the most powerful machines have their limits. As we look to the future of computing, we must consider a range of technologies and approaches to ensure that we continue to unlock new levels of processing power while also considering the significant environmental and resource implications of our technological advancements. rnrn

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