Quantum computing companies will see real use cases in 2022

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  • 69% of global companies have already adopted or are planning to adopt quantum computing
  • Germany most optimistic about gaining competitive advantage with quantum computing
  • Machine learning and data analytics issues are primary use cases for early and more advanced adopters of quantum computing

Quantum computing is finally making its presence felt among businesses around the world. In recent years, companies have shown interest in quantum computing, but often have not been able to make a definitive decision on how to use the technology because there was not enough research into its applications. practices beyond theory.

Nonetheless, 2021 has been a remarkable year for the quantum computing industry. Not only has there been more research into the potential use cases for the technology, but investments in quantum computing have increased globally to boot.

As the United States and China continue to compete for supremacy in this evolving branch of computing, other countries and organizations around the world have also slowly caught up. And now, 2022 should be the year when companies can begin to see breakthroughs in quantum computing that could lead to practical uses.

According to the first annual report Enterprise Quantum Computing Adoption Report By Zapata Computing, 69% of global companies have already adopted or plan to adopt quantum computing solutions in the near term. The report, which involved more than 300 executives from large multinational companies, also showed that 74% of them agreed that those who don’t embrace quantum computing will fall behind.

The primary motivation behind the adoption of quantum computing is that the technology is poised to deliver better performance and better business outcomes. In fact, some companies are already on the right track to gaining an advantage, with 12% of early and advanced quantum users expecting to gain some form of competitive advantage over the next year; and 41% expect some form of competitive advantage within two years.

Unsurprisingly, U.S. companies say they are closest to a competitive quantum advantage, with 12% of companies that have started on the path to quantum adoption expecting to gain an advantage within a year, if they don’t. haven’t already. Meanwhile, Germany is the most optimistic about gaining a competitive advantage with quantum computing, with 44% of German respondents predicting an advantage within two years, followed by Canada at 38%, the UK and Australia at 33% each, and the US at 31%.

Machine learning (ML) and data analytics problems are the primary use cases for both early and more advanced adopters of quantum computing. For example, in the United States, 71% of companies invest in ML and data analytics issues, compared to 51% globally. It’s intuitive, because companies already have ML talents, algorithms, and applications.

Machine learning is also the most likely use case to deliver short-term value to businesses, because in areas where classic ML struggles, such as generative models of unsupervised and semi-supervised learning to increase data sets in predictive models, are better suited to quantum devices.

Interestingly, however, despite growing investments in quantum computing, businesses still face several hurdles. The biggest barrier to quantum adoption is the complexity of integrating quantum computing into the company’s existing IT stack, a barrier shared by 49% of respondents. Having skills sophisticated enough to work on the technology is also a barrier. Therefore, the management of these complexities is done mainly with the help of specialized third-party vendors.

Despite these obstacles, companies are investing heavily in quantum computing. Even though 96% of those surveyed pointed out that it would take them more than 10 minutes to explain quantum computing to a friend at a party, the reality is that the adoption of the technology is gaining momentum at a fast pace, as the world moves towards quantum computing. decade.

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