Quantum computing has leapt from concept to commercial enterprise in four decades and now the complexities of computer hardware apply to quantum computing but with the added challenge that computer fundamentals are radically different.
Despite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that some companies are already building using quantum hardware. Framing these as examples of combinatorics problems, we illustrate their application in four industry verticals: cybersecurity, materials and pharmaceuticals, banking and finance, and advanced manufacturing. While quantum computers are not yet available at the scale needed to solve all of these combinatorics problems, we identify three types of near-term opportunities resulting from advances in quantum computing: quantum-safe encryption, material and drug discovery, and quantum-inspired algorithms.
This paper explores the challenges and opportunities to integrate quantum computing into enterprise data centers. With the significant amount of power requirements, high data consumption, and virtualization challenges that enterprise data centers face today, quantum computing has the potential to revolutionize the modus operandi of data centers. Unlike classical computing, quantum computing uses special bits called qubits, which can exist in multiple states simultaneously and are interconnected rather than being limited to just 0s and 1s to represent data. This technology promises to enhance processing capabilities to solve complex problems faster than today’s classical computers. Quantum computing could be applied in areas such as cryptography, flexible virtualization, and sustainable energy development, benefiting both current and future enterprise data centers. However, transitioning to quantum advancements involves significant blockheads related to hardware development, error correction, and integration with existing infrastructure. This paper also provides a comprehensive overview of these challenges while highlighting potential benefits, such as improved data security, accelerated data processing, and new capabilities in data analysis.