Quantum Annealers Deliver Value Today, but Gate-Based Enterprise Breakthroughs Remain Years Away, Finds Info-Tech Research Group As interest in quantum computing grows, many organizations face challenges in determining where the technology can deliver tangible business value. New insights from Info-Tech Research Group show that current applications remain concentrated in scientific exploration and highly complex optimization problems, while uncertainty around use cases and timelines continues to make investment decisions difficult. The firm's recently published blueprint, Identify and Evaluate Quantum Computing Use Cases, outlines a structured framework to help CIOs and CTOs assess feasibility, prioritize opportunities, and prepare for future advancements. ARLINGTON, Va., July 27, 2026 /PRNewswire/ -- Quantum computing continues to attract significant investment from governments, technology vendors, and research institutions, yet many organizations remain uncertain about where the technology can deliver meaningful business value. While advances in quantum hardware continue, identifying practical enterprise use cases and determining when organizations should invest remain significant challenges. To help CIOs and IT leaders make informed decisions, Info-Tech Research Group, a global IT research and advisory firm, has published its new blueprint, Identify and Evaluate Quantum Computing Use Cases, providing a practical framework to evaluate quantum opportunities based on business value, technical feasibility, and organizational readiness. Though gate-based quantum computing is often positioned as the next major breakthrough in enterprise technology, Info-Tech's blueprint findings suggest that widespread enterprise value from it remains years away, with a few exceptions. The firm notes that while AI has scaled rapidly across industries, quantum computing is expected to deliver value across a much narrower set of highly complex problems. "Some people view quantum computing as the next AI, but that comparison doesn't really hold up," says Brian Jackson, principal research director at Info-Tech Research Group. "Quantum computing is far more specialized and harder to implement. But for the