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Quantum Computing Lifts IBM Stock

Quantum computing is a hot area in the tech field these days, and thanks to that, International Business Machines (IBM) stock was popular on Thursday. A convincing demonstration of its prowess in this technology wowed investors, who collectively pushed the company's share price up by over 5% that day. Speaking of convincing, that performance crushed the S&P 500, which slid by 0.5%.

Quantum Leap

The demonstrator was global bank HSBC. Before the market opened, the company announced it had successfully run a trial of algorithmic bond trading analysis, using a combination of traditional and quantum computing resources. IBM team members handled the technical aspects of the test. HSBC said that the trial indicated that this combination delivered as much as a 34% improvement over classical prediction techniques in predicting key information about a bond trade -- specifically, how high the possibility was that it would be filled at a quoted price. In HSBC's press release on the trial, the bank quoted vice president of IBM's quantum unit, Jay Gambetta, as saying that it "shows what becomes possible when deep domain expertise is integrated with cutting-edge algorithm research, and the strengths of classical approaches are combined with the rich computational space offered by quantum computers."

Clients With Deep Pockets

It was clever of IBM to get involved in HSBC's effort to ramp up the technological foundation of an important securities trading activity. The tech company has clearly demonstrated that it can be a go-to partner for such well-capitalized clients, in a hotly competitive field where the stakes are high. IBM isn't necessarily a top choice for investors seeking to capitalize on quantum computing, but perhaps this piece of news will help move that needle.

Expanding Understanding:

* **Quantum Computing Applications:** Beyond finance, quantum computing is exploring applications in drug discovery, materials science, and cybersecurity. * **Current Limitations:** Quantum computing remains in its early stages, facing challenges like error correction and scalability. Disclaimer: This analysis is for informational purposes only and is not investment advice. Investors should conduct their own research before making any investment decisions.

Risk Warning and Disclaimer: This article represents only the author’s views and is for reference only. It does not constitute investment advice or financial guidance, nor does it represent the stance of the Markets.com platform. Trading Contracts for Difference (CFDs) involves high leverage and significant risks. Before making any trading decisions, we recommend consulting a professional financial advisor to assess your financial situation and risk tolerance. Any trading decisions based on this article are at your own risk.

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