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Scientists challenge Google’s quantum supremacy claims using 512 GPUs

Why it matters: In 2019, a paper leaked claiming physicists at Google used their quantum computer, Sycamore, to perform a calculation that could overwhelm the world’s most effective supercomputer. Chinese scientists recently challenged that claim by successfully running exactly the same computation in just a matter of hours utilizing the computing power of today’s GPUs. Their results prove a supercomputer using modern tools could likely beat Sycamore’s previous record.

Google’s quantum computing researchers originally ran the complex calculation in 200 seconds (just over 3 minutes), a feat they claimed could have taken the fastest supercomputer up to 10,000 years. Predicated on this result, the team claimed that they had reached a substantial milestone referred to as quantum supremacy. Quantum supremacy may be the point of which a quantum device can solve issues that otherwise can’t be solved by classical technology in virtually any reasonable period of time.

Not individuals were a believer in Google’s self-proclaimed supremacy in 2019. Another major player in the quantum computing space, IBM, challenged Google’s claims right away. Researchers there claimed exactly the same task could possibly be performed in just a matter of days with the proper quantity of available resources, invalidating Google’s claim of quantum supremacy.

Chinese scientists successfully proved IBM’s point by attacking the initial problem using advanced algorithms and compute power from today’s GPUs to perform the calculation. In accordance with a written report by science.org,your time and effort used 512 GPUs, lots that is definately not unfathomable when contemplating just how many units have already been found in cryptocurrency mining operations during the last many years.

Chinese scientists successfully proved IBM’s point by attacking the initial problem using advanced algorithms and compute power from today’s GPUs to perform the calculation. A written report in Science notes that your time and effort used 512 GPUs lots that is definately not unfathomable when contemplating just how many units cryptocurrency mining operations sometimes use.

The GPU compute power coupled with advanced algorithms completed exactly the same calculation within a long time. The results, that have been unthinkable based on the leaked 2019 research findings, provide evidence to back claims a large enough supercomputer could, actually, rival Sycamore’s earlier achievement.

Conventional computing depends on bits, the standard information units in computing. These bits can exist as only 1 of two values, the 0 or 1.

Quantum computing depends on quantum bits, or qubits, made up of a superposition of 0 and 1. Such as a bit, a qubit can equal 0 or 1. However, it gets the added property of equaling 0 and 1 simultaneously, leading to vastly increased computing potential.

The achievement will not invalidate Google’s previous quantum achievements, nor does it imply that standard processing hardware can “catch up” to quantum’s capabilities. Google Quantum AI’s principal scientist, Sergio Boixo, said the initial 2019 paper acknowledged the likely future improvement to classical algorithms but doesn’t believe today’s classical computing approach will keep pace with quantum technologies.

Boixo’s statement is accurate given the rate of quantum growth since 2019. Google’s original Sycamore was a 53-qubits processor. In 2021 IBM unveiled their 127-qubit Eagle, and their quantum roadmap looks to break the 1,000-qubit barrier sometime in 2023.

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