AMD Stock Surges on IBM Quantum Computing Chip Integration Report

AMD shares surged after reports that IBM successfully used AMD’s FPGAs to run a quantum error correction algorithm. IBM confirmed the development, considering it a milestone in their aim to build a large-scale quantum computer by 2029. The breakthrough simplifies quantum computing by using conventional chips, potentially reducing costs. The news also boosted IBM’s stock and other quantum computing companies like D-Wave, Rigetti, and IonQ. This highlights the advancements in heterogeneous computing for quantum applications.

AMD Stock Surges on IBM Quantum Computing Chip Integration Report

Lisa Su, chair and chief executive officer of Advanced Micro Devices Inc. (AMD), during a fireside chat at the Indian Institute of Science (IISc) in Bengaluru, India, on Thursday, Nov. 21, 2024.

Gabriela Bhaskar | Bloomberg | Getty Images

Shares of Advanced Micro Devices (AMD) surged nearly 8% on Friday, fueled by emerging reports that IBM has successfully leveraged AMD’s field-programmable gate arrays (FPGAs) to execute a quantum computing error correction algorithm. IBM shares followed suit, gaining approximately 8% and poised for their strongest single-day performance since January.

The development, detailed in a forthcoming research paper and confirmed by an IBM spokesperson to CNBC, marks a significant step forward in the pursuit of scalable and fault-tolerant quantum computing. The ability to run complex quantum algorithms on conventional chips like AMD’s FPGAs could dramatically reduce the cost and complexity associated with quantum computer development and deployment.

The collaboration between IBM and AMD, initially announced in August with the intention of fostering quantum computing advancements and technological integration, has quickly yielded tangible results. IBM maintains its projection to unveil a “large-scale, fault-tolerant quantum computer” by 2029, and this recent progress strengthens IBM’s confidence in meeting that ambitious timeline.

IBM portrayed the achievement as a “milestone in our clear path” towards their 2029 goal. In a statement, the company emphasized the importance of this breakthrough: “Designing and implementing a way to do this at scale, and without requiring expensive GPU clusters, is a significant achievement to scaling useful quantum computers.”

While AMD has yet to release an official statement, the market’s enthusiastic response indicates a strong belief in the potential of this technology. The breakthrough underscores the increasing importance of heterogeneous computing architectures, where specialized processors like FPGAs work alongside CPUs and GPUs to tackle computationally intensive tasks, especially those prevalent in emerging fields like quantum computing and artificial intelligence.

Quantum computing holds the promise of solving problems intractable for classical computers by harnessing the principles of quantum mechanics. Tech giants like Google, Microsoft, and Amazon are heavily invested in the race to build practical quantum computers.

Recent years have seen significant progress in quantum hardware. Last year, Microsoft revealed its first quantum computing chip, the Majorana-1, while Google launched its breakthrough Willow chip. Although Google executives have cautioned that true quantum breakthroughs are still several years away, the accelerating pace of innovation is evident.

This renewed interest in the quantum realm has brought momentum to publicly traded quantum computing pure-plays. D-Wave Quantum, Rigetti Computing, and IonQ all experienced increases in their stock prices on Friday, reflecting the broader investor enthusiasm surrounding the sector. This positive sentiment persists despite recent denials regarding government investment in Quantum computing companies.

The collaboration between IBM and AMD to leverage existing chip technology paves the way for further advances and signifies the potential to accelerate the practical applications of quantum computing by removing cost barriers and infrastructure constraints.

Original article, Author: Tobias. If you wish to reprint this article, please indicate the source:https://aicnbc.com/11573.html

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