Collaborations
5
Min read
As an early adopter of the NVIDIA GH200 Grace Hopper Superchip systems, qBraid provides unparalleled access to today’s most advanced computing technologies.
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Chicago, IL – April 22, 2026 – We are excited to welcome Kvantify Qrunch to qBraid Lab. Qrunch is a production grade quantum chemistry toolkit built by the team at Kvantify in Copenhagen, and it is now available to the 28,000+ developers, researchers, and enterprise teams building on qBraid.
Qrunch is designed to tackle molecular systems that push past the limits of classical computation. It pairs hybrid quantum classical algorithms with efficient active space methods so that quantum chemistry workflows can be prototyped, scaled, and run against real hardware from a single environment.
Inside qBraid Lab, that means Qrunch sits alongside the rest of the quantum stack. Developers can move from algorithm design to execution on QPUs from IBM, IonQ, Rigetti, QuEra, Atom Computing, AQT, and Microsoft without leaving the notebook. Environments come preconfigured, dependencies are resolved, and results stay reproducible.
Kvantify has shipped a set of tutorials that run out of the box in qBraid Lab. Each one is grounded in a real application area where quantum chemistry has near term commercial relevance.
qBraid’s job is to make quantum computing usable. That means meeting developers where they are, removing infrastructure friction, and pulling the best tools in the ecosystem onto a single platform. Qrunch is a natural fit. The Kvantify team has built deep domain expertise in quantum chemistry, and qBraid Lab gives their users a faster on ramp and access to a broader set of quantum backends.
For qBraid users, the value is concrete. Chemistry teams can prototype workflows faster, compare results across hardware modalities, and move from tutorial code to production research without rebuilding their environment. For enterprise teams evaluating quantum for real problems in materials, energy, and life sciences, this adds another credible path from research question to quantum execution.
Start your Qrunch trial on qBraid Lab: account.qbraid.com
Learn more about Qrunch: kvantify.com/products/qrunch
Explore the open source SDK powering qBraid: github.com/qBraid/qBraid
About qBraid
qBraid is a hardware agnostic quantum computing platform with over 27,000 developers. With partnerships across IBM, IonQ, Rigetti, QuEra, Atom Computing, AQT, and Microsoft, qBraid brings the full quantum hardware ecosystem together through a single, unified cloud interface. Learn more at qbraid.com.
Collaborations
5
Min read
As an early adopter of the NVIDIA GH200 Grace Hopper Superchip systems, qBraid provides unparalleled access to today’s most advanced computing technologies.
Press Releases
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Research
5
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IEEE has awarded qBraid and its collaborators 1st place for the Best Paper Award in the Quantum Algorithm Track.
Collaborations
3
Min read
Kvantify Qrunch is now live on qBraid Lab, giving our 27,000+ developers access to production-grade quantum chemistry workflows and five ready-to-run tutorials spanning batteries, carbon capture, drug discovery, and enzyme catalysis.
Collaborations
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Collaborations
2
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Collaborations
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Collaborations
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As an early adopter of the NVIDIA GH200 Grace Hopper Superchip systems, qBraid provides unparalleled access to today’s most advanced computing technologies.
Collaborations
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Hackathons
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Hackathons
5
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Hackathons
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Hackathons
5
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At this year's QCHack, participants attended a week filled with amazing talks, 1:1 sessions with academic and industry mentors, and a 24 hour hackathon hosted by Stanford, Yale and Berkeley.
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Hackathons
4
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The potential of the field of quantum computing is so huge that everyone in the field cannot wait for all the promises that the field holds to become a reality.
Research
4
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qBraid researchers Tarini Hardikar and James Brown presented four talks at the APS Global Physics Summit 2026 in Denver, spanning molecular simulation, quantum education, and aerospace applications.
Research
5
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IEEE has awarded qBraid and its collaborators 1st place for the Best Paper Award in the Quantum Algorithm Track.
Research
1
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qBraid's team used hybrid classical-quantum algorithms to determine the best flight path
Research
1
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Learn how classical sampling methods, such as Markov Chain Monte Carlo, can estimate truncation errors in simulating bosons on quantum computers, aiding resource assessment and result validation for quantum simulations, including applications in two-dimensional lattice scalar field theory.
Press Releases
3
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MIT News featured qBraid as a startup providing a nontechnical gateway to coding on quantum computers, highlighting the platform's mission to democratize access to quantum hardware and software worldwide.
Press Releases
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Press Releases
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qBraid will lead a team of researchers from MIT, UChicago, Argonne National Laboratory, and QuEra to develop quantum computing solutions for studying the interaction of metals and intrinsically disordered proteins.
Press Releases
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OSU uses qBraid for accessing Intel Quantum SDK
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Product
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Supercharge your quantum workflows with GPUs on qBraid
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Product
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Intel® Quantum SDK is generally available on qBraid Lab for Free with no installation necessary
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Dive into the intricate interplay of the Bernoulli line and the Bloch sphere, revealing profound geometric insights into quantum state dynamics.
