qBraid at iQuHACK 2026: Powering MIT's Largest Quantum Hackathon Yet
Cambridge, MA – February 1, 2026
qBraid is proud to have served as the official compute platform for iQuHACK 2026, MIT's 7th annual quantum hackathon for the 5th consecutive year. Held January 30 to February 1 on MIT's campus, iQuHACK brought together the brightest minds in quantum computing for an intense weekend of collaboration, competition, and discovery.
The Biggest iQuHACK Yet
iQuHACK 2026 drew more than 400 students on-site from universities across the United States and over 1,000 participants joining virtually from 76 countries, making it the largest edition of the event to date. Fifteen leading quantum technology companies sponsored this year's challenges, including NVIDIA, IonQ, IQM, QuEra, Alice & Bob, Quantum Rings, Superquantum, Nord Quantique, BlueQuibit, Classiq, and Quantum Design.
qBraid as the Official Platform — 5 Years Running
This year marked qBraid's 5th consecutive year as the official platform for iQuHACK. Every participant, across every challenge track, ran their work through qBraid Lab — a zero-setup, pre-configured cloud environment that lets teams focus entirely on the science rather than infrastructure setup.
iQuHACK 2026 also served as the public debut of qBraid Lab v2. qBraid CTO Ryan Hill presented the new platform to all participants at the start of the event, walking teams through the updated interface, new features, and how to get the most out of it across each hardware challenge track.
Software engineers Dhruv Khara and Alex Van Bussum were also on the ground as mentors throughout the weekend, supporting teams with platform questions and helping participants navigate hardware access across IonQ, QuEra, IQM, and other partners.
Challenges Across the Quantum Stack
This year's challenge lineup spanned a wide range of quantum computing domains:
- NVIDIA challenged teams to tackle the Low Autocorrelation of Binary Sequences (LABS) optimization problem using CUDA-Q, with qBraid as the development and CPU validation environment before scaling to GPU hardware via Brev.
- IonQ brought a gamified entanglement distillation challenge set across a quantum network graph.
- IQM asked teams to demonstrate genuine multipartite entanglement on their 56-qubit superconducting processor.
- Quantum Rings introduced a machine learning challenge: predicting circuit runtime and fidelity from circuit structure alone.
Across every track, teams relied on qBraid Lab to write, test, and submit their solutions, with the platform handling environment configuration, dependency management, and hardware access in the background.
Congratulations to Everyone Who Competed
A huge thank you to the iQuHACK organizing committee at MIT, to all 15 sponsors who designed world-class challenges, and to every team that showed up and pushed the limits of what's possible in quantum computing this weekend.
Want to explore the open-source SDK that powered the platform? 👉 github.com/qBraid/qBraid
Ready to keep building? 👉 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.