Quantum Computing in Business Applications is coming

Quinn Peterson

M. Dukalski

Summary Quantum computing offers a theoretical speed-up (in terms computational complexity) when performing certain computational tasks. Successful inclusion of quantum computing units in existing HPC solutions is contingent on identifying appropriate and realistic use-cases, of which, to date, there are very few candidates. This is particularly true for upstream business. This is because, there are few quantum algorithms, each coming with a number of caveats which ought to be carefully studied. We suggest a potential simple use-case in geophysics and 1D inverse scattering theory and provide detailed analysis of the requirements needed to be met in order to achieve the promised speed-up.

Rubyet Islam

Daniel S. Renner, Steven B. Estrella

A variety of photonic devices is required for the implementation of quantum sensors, computers and communication networks. This presentation will describe the current state-of-the-art and future possibilities for key photonic devices that enable quantum technologies, such as photon sources, photon detectors, optical amplifiers, electro-optic modulators and paths towards the integration of these devices. Specific requirements on these devices that come from quantum technology demands will be explored and technology solution approaches will be described. The presentation will also explore business prospects for photonic devices in the quantum markets, starting from the present and extrapolating to future opportunities.

Teresa Guarda, Washington Torres, Maria Fernanda Augusto

Gaurav Sarin, Yogendra Sai Reddy, Manya Sarin

Abstract Quantum computing (QC) advances will help solve high complexity challenges that classical system architectures cannot solve. This report examines the philosophical foundation for QC research using a PRISMA-compliant systematic literature review and bibliometric analysis. This review emphasizes business applications of QC, including optimization, cryptography and cybersecurity, machine learning, financial modeling and forecasting, supply chain management, healthcare and analytics, and materials design, showing how QC can improve prediction and forecast accuracy, data physicalness, large-scale optimization, and more. The research will also identify execution constraints such hardware readiness, qubit capacity, development and operation expenses, personnel availability, and regulatory and commercial governance. Bibliometric data showed a focus on foundational quantum theoretical contributions and algorithms, with multidisciplinary and practical work emerging. Scaled algorithms, quantum-resistant standards, and any solutions industry nexus to enterprise are among the research opportunities. The literature evaluation will also identify ethical, policy, and sustainability issues related to quantum benefits. The paper helps businesspeople understand QC’s current and future opportunities, including a research-based assessment of where we’ve come, common themes in the literature, and strategic domains for scaling QC as a research agenda from laboratory experiments to enriching the service experience as commercial utility.