{"id":18883,"date":"2024-11-25T14:43:12","date_gmt":"2024-11-25T12:43:12","guid":{"rendered":"https:\/\/forklog.com\/en\/quantum-technologies-vs-supercomputers-who-will-crack-bitcoin\/"},"modified":"2024-11-25T14:43:12","modified_gmt":"2024-11-25T12:43:12","slug":"quantum-technologies-vs-supercomputers-who-will-crack-bitcoin","status":"publish","type":"post","link":"https:\/\/u1f987.com\/en\/quantum-technologies-vs-supercomputers-who-will-crack-bitcoin\/","title":{"rendered":"Quantum Technologies vs. Supercomputers: Who Will Crack Bitcoin?"},"content":{"rendered":"

Google experts have unveiled a technology that, with the application of artificial intelligence, could make quantum computing practical in real life, according to an article in Nature<\/a>.<\/p>\n

In the presented work, Deepmind researchers explained that their new AI system, AlphaQubit, has succeeded in correcting persistent errors that have long plagued quantum computers.<\/p>\n

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\u201cQuantum computers have the potential to revolutionize drug discovery, materials development, and fundamental physics if we can make them work reliably,\u201d states a Google announcement<\/a>.<\/p>\n<\/blockquote>\n

These powerful computational devices are extremely fragile: even the slightest environmental interference, such as heat, vibration, electromagnetic fields, or even cosmic rays, can disrupt quantum states, leading to errors and unreliable computations.<\/p>\n

A previously published work claims<\/a> that for quantum computers to be practically applicable, the error rate must not exceed one in a trillion operations.<\/p>\n

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\u201cSome tasks would take a classical computer billions of years, while a quantum one would need only a few hours. However, new processors are more susceptible to noise<\/span> compared to classical ones. If we want quantum computers to be reliable, especially at scale, we need to precisely identify and correct these errors,\u201d Google emphasized.<\/p>\n<\/blockquote>\n

The new AI system, AlphaQubit, uses a complex neural network architecture that has demonstrated high accuracy in identifying and correcting quantum errors.<\/p>\n

The solution maintained high accuracy in quantum systems ranging from 17 to 241 qubits. This suggests that the approach could scale to larger systems needed for practical quantum computing.<\/p>\n

AlphaQubit faces significant hurdles before implementation.<\/p>\n

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\u201cEach consistency check in a fast superconducting quantum processor is measured a million times per second. Although AlphaQubit excels at accurately identifying errors, it is still too slow to correct errors in a superconducting processor in real-time,\u201d the developers claim.<\/p>\n<\/blockquote>\n

Researchers have focused on optimizing speed, scalability, and integration.<\/p>\n

The crypto community fears blockchain breaches by quantum computers. Concerns intensified following the \u201cworld\u2019s first effective attack\u201d on the Present, Gift-64, and Rectangle algorithms.<\/p>\n

The World’s Fastest Computer<\/strong><\/h2>\n

While quantum computers have the potential to disrupt blockchains like Bitcoin and Ethereum, the same cannot be said for even the fastest conventional supercomputers.<\/p>\n

Scientists from the Lawrence Livermore National Laboratory announced that their latest supercomputer, El Capitan, can perform 2.79 quadrillion (a number with 15 zeros) calculations per second, making it the fastest computer in the world. It operates 5.4 million times faster than a standard home PC.<\/p>\n

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LLNL has unveiled the most powerful supercomputer and first #Exascale<\/a> machine dedicated to #NationalSecurity<\/a>. With a sustained performance of 1.742 exaFLOPs on the @top500supercomp<\/a>, El Capitan becomes the first HPC machine to surpass the 2 exaFlOP barrier! https:\/\/t.co\/A5wStJn417<\/a> pic.twitter.com\/MlGaeSdm0c<\/a><\/p>\n

\u2014 Lawrence Livermore National Laboratory (@Livermore_Lab) November 18, 2024<\/a><\/p><\/blockquote>\n