There has been a lot of talk, as of late, that the cloud has become a resource to turn to when a company needs large amounts of digital storage, constantly updated SaaS (software-as-a-service), or high-performance computing capabilities. Couple this with the expansion of AI (artificial intelligence) in applications, even smaller companies can realize the full computing power available in the cloud.
And while the cloud has been highly publicized as an option for everything digital, an even more powerful environment exists that hasn’t gotten nearly as much coverage, at least not yet. Lookout world here comes quantum computing. A recent IDC (Intl Data Corp.) survey of IT (information technology) and business personnel responsible for quantum computing adoption has revealed that improved AI capabilities, accelerated BI (business intelligence), and increased productivity and efficiency are quickly proving to be the top expectations of organizations currently investing in cloud-based quantum computing.
The IDC Study, Quantum Computing Adoption Trends: 2020 Survey Findings notes that cloud-based quantum computing while still in its infancy, and funds earmarked for quantum-computing initiatives are limited (0-2% of IT budgets), end users are certainly optimistic that early investment will prove to be a competitive advantage in the future. Manufacturing, financial services, and security industries are currently experimenting with more potential uses, developing advanced prototypes, and being further along in their implementation.
But like with any new technologies, there are challenges. Complex technology, skillset limitations, lack of available resources, and costs are causing some companies to defer making hefty investments in quantum computing. Combined with a large interdisciplinary interest, quantum computing vendors have been driven to develop technology solutions that address multiple end user needs and skill levels. The result being an increase in cloud-based quantum computing that is more easily accessible and user friendly. Types of technologies employed across industries include quantum algorithms, cloud-based quantum computing, quantum networks, and hybrid quantum computing.
Thus, quantum computing is proving to be more targeted for organizations looking to apply big-data applications, artificial intelligence, and machine learning to improve BI across the enterprise, among other things. IDC’s report provides insight into the demand-side of cloud-based quantum computing, including preferred technologies and end-user investment and implementation strategies. Looking ahead, it will be interesting to see if these factors can assist in helping guide businesses to find the right fit for quantum computing, quantum-computing vendors, and independent software vendors to develop those apps.
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