IEEE Quantum Week 2026

Quantum commercialization is stalled by technical complexity, but product-led innovation is bridging the gap from deep tech to mainstream adoption. This panel brings together hardware and software leaders to explore how to abstract raw physical layers into intuitive, turnkey workflows integrated into hybrid cloud environments. Attendees will gain actionable strategies for designing frictionless user experiences, hiding underlying physics, and delivering real enterprise ROI for non-expert users—no PhD required.

Panelist: James Guilmart (Q-CTRL), Coleman Collins (IonQ), Tomer Itelson (Classiq), Sanket Panda (IBM), Ricky Young (qBraid)

Transitioning from NISQ to fault-tolerant quantum computing requires rebuilding the software stack rather than tweaking existing frameworks. This panel unites hardware providers, software developers, and researchers to address critical roadblocks in mid-circuit measurement, low-level control, and cross-platform error correction integration. Attendees will gain cross-ecosystem insights into bridging the gap between simulation and real-hardware execution, along with actionable steps the open-source and hardware communities must take over the next twelve months to accelerate fault-tolerant research.

Panelist:  Yuval Baum (Q-CTRL), John Gamble (IonQ), Roland Guichard (Riverlane), Roger Luo (QuEra Computing), Michal Stechly (PsiQuantum)

As quantum computing moves from lab experiments to enterprise utility, the core challenge has shifted from pure physics to systems-level integration. This panel examines how abstraction, virtualization, and systems engineering treat quantum processing units as accessible accelerators within existing CPU and GPU hybrid cloud infrastructures. Industry experts will share real-world strategies for automating backend tasks and deploying vendor-agnostic systems, enabling non-expert enterprise users to run complex workloads through familiar DevOps pipelines and unlock practical quantum advantage.

Panelist:  James Guilmart (Q-CTRL), Bruno Abreu (Pittsburgh Supercomputing Center), Shane Caldwell (NVIDIA), Burns Healy (Dell), Roger Luo (Anyon Computing)

As quantum computers reach the scale to run meaningful enterprise workloads within HPC data centers, scaling to millions of qubits requires transitioning from lab-controlled setups to hands-off, automated deployment. This panel brings together hardware, control system, and software leaders to explore the practical infrastructure needed to merge quantum systems into classical HPC environments. Attendees will discover new Quantum Error Correction calibration paradigms, AI-driven automation strategies, and the critical milestones required to achieve true quantum utility.

Panelist:  Yuval Baum (Q-CTRL), Gilad Ben-Shach (Quantum Machines), Yonatan Cohen (Quantum Machines), Abhinav Kandala (IBM Research), Jonathan Reiner (Quantum Machines)

Fragmented component and interface specifications currently obstruct quantum computing value chains, increase integration costs, and hinder cross-stack interoperability. Returning after its inaugural session at QCE25, this panel brings together key hardware and software stakeholders in Quantum Error Correction (QEC) to drive industry-wide standardization. Attendees will gain actionable insights into emerging interface proposals, identify pressing architectural gaps, and discover concrete ways to contribute to a cohesive, scalable, fault-tolerant quantum ecosystem.

Panelist: Paul Coote (Q-CTRL), Niels Bultink (Qblox), Munir Hasan (Riverlane), Moritz Kirste (Zurich Instruments), Justin Lietz (NVIDIA), Janne Mäntylä (IQM), Kasra Nowrouz (QuNorth), Adam Paetznick (Microsoft)

Subgraph isomorphism is a fundamental, computationally intensive problem vital for biological networks, social mining, and quantum circuit compilation. Traditional backtracking algorithms like VF2 struggle with sequential bottlenecks, limiting performance on modern hardware. This paper introduces Δ-Motif, a GPU-accelerated algorithm that reformulates subgraph isomorphism into tabular relational operations using standard database primitives like joins and filters. Leveraging the NVIDIA RAPIDS ecosystem, Δ-Motif achieves speedups up to 600x over VF2, dramatically accelerating critical quantum compilation tasks through accessible, familiar abstractions.

Presenter: Yulun Wang (Q-CTRL)