Quantum Computing
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Entangled Networks: Enabling Technologies and Future Markets
Published September 2026
A New Market Is Taking Shape
Today’s commercial entangled-network market is centered on entangled-photon sources, single-photon detectors, precision timing and stabilization systems, network-control software, and prototype networking equipment. But this is only the starting point.Unlike reports that treat the quantum internet as a distant scientific vision, CIR examines the technologies and applications that are already turning entanglement-based networking into a genuine business opportunity.
The report analyzes critical enabling technologies—including quantum repeaters, quantum memories, entangled-photon sources, detectors, transducers, control systems, and networking software—and assesses how their development will shape the market over the coming decade.
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Post-Quantum Cryptography 2026: The Age of Deployment
Published August 2026
This 200 page report examines the rapidly expanding market for quantum-safe cybersecurity technologies as enterprises, governments, and critical infrastructure operators prepare for the arrival of Cryptographically Relevant Quantum Computers (CRQCs). While estimates vary, many experts now place “Q-Day,” the point at which quantum computers can break today’s public-key cryptography, within the 2030-2035 timeframe. Because cryptographic migrations can take many years to complete, organizations are increasingly recognizing that the transition to post-quantum security must begin immediately.
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AI Factories: The Emerging Industrial Infrastructure for Artificial Intelligence
Available September 2026
This report examines the transformation of AI infrastructure from the server-based data centers of today into integrated production systems designed to “manufacture” computational intelligence at scale. AI factories take a completely new direction. Rather than treating an AI factory simply as a very large GPU cluster, this report analyzes it as a new computing architecture in which semiconductors, high-bandwidth memory, advanced packaging, networking, storage, software, electrical infrastructure and cooling planned together. Although a growing number of large firms are involved in the birthing of AI Factories, NVIDIA is understandably and especially enthusiastic – AI factories may contain as many as millions of GPUs. NVIDIA’s current Rubin architecture illustrates the direction in which the AI factory is pointing.
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Processors for HPC and AI
Available in June, 2026
High-performance computing (HPC) and AI are increasingly converging around accelerated, heterogeneous processors with each type of processor doing what it does best. For example, the latest platforms combine CPUs with GPUs, application-specific accelerators, high-bandwidth memory and advanced interconnects. The rapid growth of AI has made accelerators the principal source of industry expansion, while scientific computing, simulation, national labs and weather forecasting continue to support demand for conventional HPC systems. Meanwhile, the HPC and AI processor markets has become less distinct.
