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Infosys Invests in Quantum

Tim Sloane by Tim Sloane
April 18, 2022
in Analysts Coverage, Technology
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Infosys Invests in Quantum

Infosys Invests in Quantum

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Quantum computing is often hailed as the next big thing in computer science. By harnessing the power of quantum mechanics, it can perform calculations that are orders of magnitude faster than traditional computers. This has the potential to revolutionize fields like machine learning and cybersecurity.

Machine learning algorithms can be accelerated by running them on quantum computers. This could lead to significant breakthroughs in areas like image recognition and predictive modeling. In cybersecurity, they can be used to break current encryption schemes. This could have major implications for data privacy and national security. While it is still in its early stages, it is clear that it has the potential to transform many different industries.

Infosys has integrated aspects of quantum computing to its current implementations of optimization problems, machine learning, and cybersecurity. Infosys uses a hybrid approach to implement aspects of quantum within a traditional computing environment. Using this approach Infosys will be prepared when it becomes broadly available:

“While classical algorithms are effective in many domains, they can be prohibitively slow and expensive when it comes to solving certain kinds of optimization problems. For example, in finance, it is difficult to use traditional computers to optimize portfolios, since this necessitates rapid, real-time analysis of the constantly fluctuating risk values associated with investing in each individual stock. To address this challenge, Infosys developed quantum-inspired algorithms to optimize the selection and allocation of assets. This enabled the company to build a diversified portfolio that maximized returns and minimized risks for more than 100 stocks in just one minute, ultimately achieving a 21% improvement in returns compared to conventional (i.e., non-quantum-inspired) asset allocation strategies.

Another area in which traditional computers can struggle to optimize accurately and cost-effectively is in supply chain. To explore the potential for quantum computing in this space, Infosys partnered with QpiAI, a startup developing quantum-inspired solutions for supply chain optimization. While these projects are still in development, the team has already shown that its algorithms enable a 60% cost reduction in vehicle routing optimization.”

Mercator has written a report that looks at quantum computing. The report identifies opportunities for its use in financial services. The report also looks closely at the challenges for data security.

Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group

Tags: CybersecurityinfosysMachine Learningoptimizationquantum computingtechnology
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