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We are pleased to have presented qBraid’s Platform-Agnostic Open-Source Tools at the Quantum Computing Devroom in FOSDEM 2025.

Contents:
Denver, CO — March 16–18, 2026
The APS Global Physics Summit 2026 — the American Physical Society’s landmark joint March and April Meeting — brought together more than 14,000 physicists from around the world at the Colorado Convention Center in Denver. qBraid was proud to be represented, with four impactful talks delivered across the week spanning quantum chemistry, workforce development, quantum education, and real-world aerospace applications.
Tarini Hardikar, Head of Scientific Applications & Product at qBraid, works at the intersection of quantum algorithms and quantum chemistry. Her research focuses on fermion-to-qubit encodings, noise-resilient simulation methods, and quantum pipelines for modeling strongly correlated molecular systems.
James Brown, Quantum Research Scientist at qBraid, focuses on applied quantum computing spanning hybrid classical-quantum algorithms, quantum machine learning, and quantum education. His work bridges cutting-edge research and real-world applications across industries including aerospace and materials science.
Efficient and Noise-Resilient Molecular Quantum Simulation with the Generalized Superfast Encoding
Tarini Hardikar | Monday, March 16 | 9:36–9:48 a.m.
This talk built on qBraid’s published research introducing improvements to the Generalized Superfast Encoding (GSE) — a compact, noise-resilient approach to mapping molecular Hamiltonians onto quantum hardware. The work demonstrates that GSE outperforms prior fermion-to-qubit encodings in both accuracy and hardware efficiency, with results validated on hydrogen molecule systems under realistic hardware noise. Key innovations include path optimization within the Hamiltonian interaction graph, multi-edge graph structures for enhanced error detection without added circuit depth, and a stabilizer measurement framework for direct Z-basis mapping.
This research is also foundational to Quanta-Bind, qBraid’s quantum computing pipeline for modeling strongly correlated metal-protein interactions — with applications to understanding neurodegenerative diseases like Alzheimer’s and Parkinson’s.
Building Quantum Readiness: Scalable Education and Workforce Training through the qBraid Platform
James Brown | Monday, March 16 | 3:30–3:42 p.m.
This talk outlined how qBraid’s cloud platform is addressing one of the field’s biggest bottlenecks: preparing researchers and practitioners to work with real quantum hardware. qBraid Lab provides instant, zero-setup access to QPUs, GPUs, and simulators across hardware vendors — removing the infrastructure friction that slows quantum education at scale.
qBook: A Hands-On Cloud-Based Course Platform to Learn Quantum Computing and Its Applications
James Brown | Monday, March 16 | 4:06–4:18 p.m.
James followed with a dedicated showcase of qBook, qBraid’s curriculum platform purpose-built for quantum education. qBook delivers interactive, hardware-connected coursework that allows learners to move directly from concept to real QPU execution — making it a powerful tool for universities, research groups, and enterprise quantum readiness programs.
Quantum Reservoir Computing for Corrosion Prediction in Aerospace: A Hybrid Approach for Enhanced Material Degradation Forecasting
James Brown | Wednesday, March 18 | 8:48–9:00 a.m.
James closed out qBraid’s Summit presence with a presentation of collaborative research with Airbus Central Research & Technology. The work introduces an “onion” quantum reservoir computing (QRC) model — a hybrid classical-quantum architecture using multiple concurrently evolved quantum reservoirs to capture degradation processes across different timescales. Applied to corrosion prediction in aerospace alloys, the approach delivers improved predictive accuracy over classical baselines, offering a compelling near-term quantum advantage use case in materials science. The full paper is available on arXiv.
These four talks reflect what qBraid is building toward: a platform where cutting-edge quantum research and broad accessibility go hand in hand. From advancing molecular simulation algorithms to powering quantum education at universities worldwide — and from workforce development to applied industry collaborations with partners like Airbus — qBraid is committed to making quantum computing useful today.
Want to explore the open-source tools powering qBraid’s research? The qBraid SDK is available on GitHub — contributions welcome. 👉 github.com/qBraid/qBraid
Ready to run your own research on real quantum hardware? 👉 account.qbraid.com
About qBraid
qBraid is a hardware-agnostic quantum computing platform with over 27,000 developers. With partnerships across IonQ, QuEra, IBM, Rigetti, Atom Computing, AQT, and Microsoft, qBraid brings the full quantum hardware ecosystem together through a single, unified cloud interface. Learn more at qbraid.com.
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