Google's claims of quantum supremacy, which utilize 512GPUs, are being challenged by scientists

Google's claims of quantum supremacy, which utilize 512GPUs, are being challenged by scientists ...

The quantum computing team at Google initially performed the complex computation in 200 seconds (just over three minutes) - a feat they predicted would have taken the world's fastest supercomputer upwards of 10,000 years. This result revealed that they had reached a major milestone known as quantum supremacy.

Not everyone was a supporter of Google's self-proclaimed supremacy in 2019. Another major player in the quantum computing space, IBM, refuted Google's claims from the beginning. Researchers there claimed that the same task could be completed in a matter of days with the appropriate amount of available resources, invalidating Google's claim of quantum supremacy.

According to a report from science.org, Chinese scientists successfully proved IBM's point by attacking the original problem with advanced algorithms and compute power from today's GPUs.

Chinese scientists successfully demonstrated IBM's point by attacking the original issue with advanced algorithms and compute power from today's GPUs to complete the calculation. The effort required 512 GPUs, an amount that is by no means unfathomable considering how many units cryptocurrency mining operations may employ.

The GPU's compute power and advanced algorithms completed the same task in just a few hours, confirming that Sycamore's earlier feat was unimaginable.

Basic information units in computing are bits, which are used in conventional computing. These bits can be only one of two values, either a 0 or a 1.

Quantum computing is based on quantum bits, or qubits, which are composed of a superposition of 0 and 1. However, a qubit can also equal 0 or 1, resulting in significantly enhanced computing capability.

The improvement does not invalidate Google's previous quantum achievements, nor does it mean that standard processing hardware will "catch up" to quantum's capabilities, according to Google Quantum AI's principal scientist, Sergio Boixo, who believes today's classical computing approach can keep pace with quantum technologies.

Given the rate of quantum evolution since 2019, Boixo's assertion is accurate. In 2021, IBM unveiled their 127-qubit Eagle, and their quantum roadmap intends to break the 1,000-qubit mark sometime in 2023.

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