Seeing the Quantum Horizon: Hype, Hopes, Hybrid Systems, and the Road to Quantum Advantage and Value
August 25, 2026
9:00 AM - 10:00 AM Pacific Time
Online
August 25, 2026
9:00 AM - 10:00 AM Pacific Time
Online
About the Session
The quantum computing industry is undergoing a critical transition. The era of chasing speculative, long-term qubit counts in isolation is giving way to a more pragmatic, problem-first approach. Today’s cutting-edge quantum strategy is not about replacing classical computing, but rather about co-designing hybrid workflows where quantum processing units (QPUs) act as accelerators alongside high-performance classical infrastructure.
We sit down with two of the quantum ecosystem's most prominent analytical voices to map out the current state of the industry. Bob Sorensen (Hyperion Research) and Sebastian Hassinger (The New Quantum Era) will cut through the media hype to deliver a grounded assessment of where quantum stands in 2026. Together, they will explore the current landscape of modalities and error correction techniques, the progress in scaling systems, the practical challenges of hardware integration, and the leading high-value enterprise opportunities. They will share their realistic expectations for when quantum computing will impact industry and research workflows while also addressing what could accelerate, or bottleneck, that progress.
Speaker
Bob Sorensen
Chief Analyst for Quantum Computing, Hyperion Research
Bob Sorensen is Hyperion Research's Chief Analyst for Quantum Computing. Bob’s areas of expertise include analysis of advanced computing hardware, architectures, interconnects, and performance metrics for both classical and quantum systems. Before joining Hyperion Research, Bob worked 30 plus years for the U.S. Federal Government as a Senior Science and Technology analyst covering global advanced computing developments to support senior-level U.S. policy makers including those in the White House, Department of Defense, and Treasury. Bob has a BSEE from the University of Rochester and a MSCS from the George Washington University. He strongly prefers C to Python.