We are excited to announce that Kvantify Qrunch is now available on qBraid Lab, expanding access to advanced quantum chemistry workflows for researchers, developers, and enterprise teams. Developed by Kvantify, Qrunch is a quantum chemistry technology designed to tackle classically intractable molecular systems using hybrid quantum-classical algorithms. With its integration into qBraid Lab, users can now seamlessly explore Qrunch workflows alongside other leading quantum tools within a unified development environment.   Advancing Quantum Chemistry Workflows Qrunch focuses on enabling practical quantum advantage in chemistry through: Variational quantum algorithms tailored for real-world molecular systems Efficient active-space methods for scaling beyond classical limits Hybrid workflows that combine classical simulation with quantum execution By bringing Qrunch into qBraid Lab, users benefit from streamlined access to quantum backends, reproducible environments, and collaborative tooling, all in one place.   Featured Tutorials Butyronitrile Dissociation: Explore C≡N bond dissociation in butyronitrile, relevant to lithium-ion batteries and solar cell technologies, using variational algorithms to approximate ground-state energies. Carbon Capture with COF-999: Model CO₂ binding in a promising carbon capture material and analyze how water lowers transition-state energy across reaction pathways. Covalent Ligand Binding: Simulate ligand binding to proteins using the BEAST-VQE algorithm, enabling larger active-space calculations through efficient qubit mappings. Dehalogenase Reaction (SN2): Investigate enzyme-catalyzed reactions for environmentally friendly degradation of haloalkanes, with applications in bioremediation. Ionization Potentials: Compute ionization energies of molecules like ammonia via variational methods, comparing neutral and ionized states.   Why This Matters The integration of Qrunch into qBraid Lab represents another step toward a more interoperable quantum ecosystem. By combining Kvantify’s chemistry-focused tooling with qBraid’s platform capabilities, users can: Prototype quantum chemistry workflows faster Access multiple quantum and classical backends in one place Scale experiments from tutorials to production-grade research Getting Started with Qrunch on qBraid Lab To support onboarding and experimentation, Kvantify provides a robust set of tutorials covering key applications in quantum chemistry and materials science. These tutorials are designed to run in a configured environment with Qrunch installed and are best used within an IDE that supports code completion for an optimal development experience. Start your Qrunch trial on qBraid Lab: https://account.qbraid.com Learn more about Qrunch: https://www.kvantify.com/products/qrunch

DUBLIN, Ireland & COPENHAGEN, Denmark Kvantify and Equal1 are pleased to announce the formation of a strategic alliance aimed at delivering integrated, high-performance quantum computing solutions. By combining their respective technologies and expertise, the two companies will address some of the world’s most complex scientific and industrial challenges, advancing quantum applications in high-impact domains, including: Drug Discovery Advanced Chemistry Biotechnical Science   A Collaborative Vision for Quantum Simulation The partnership leverages Equal1’s scalable quantum hardware and Kvantify’s advanced quantum algorithms, creating a powerful solution that will push the boundaries of what is computationally possible. Under the terms of the agreement, Equal1 recognizes Kvantify as a preferred partner for quantum simulations, and the collaboration enables molecular modeling and biochemical calculations which are currently beyond the reach of classical systems.   Joint Working Group to Drive Execution To facilitate this partnership, the companies have established a joint cross-functional working group to evaluate prospective customer projects, align technical roadmaps, and coordinate the delivery of integrated hardware and software solutions. With their shared vision, both organizations emphasize the importance of the collaboration: Jason Lynch, CEO of Equal1: “By building quantum processors on standard silicon, we’re turning quantum from bespoke hardware into deployable infrastructure. This alliance with Kvantify is a vital step in that journey. Together, we are bridging the gap between breakthrough hardware innovation and real-world workloads, positioning our joint solutions as the quantum standard for high-performance computing in the life sciences.” Allan Grønlund, Co-Founder and CTO of Kvantify: “If we can utilize quantum computers more effectively, we can dramatically reduce both time and costs in the early stages of drug development. Our collaboration with Equal1 provides an essential technological foundation for bringing quantum-based computation out of the lab and into industrial application, enabling far more precise calculations of chemical processes than classical systems ever could.”   About Kvantify Based in Copenhagen, Kvantify is a leader in quantum software, specializing in simulations for life sciences and chemistry. Their quantum technology, Qrunch, is commercially available. About Equal1 Equal1 is a global leader in silicon-powered quantum computing technology. Equal1’s first generation quantum machine, the Bell-1 Quantum Server, is now available and shipping to customers.

SaxonQ is presenting the third generation of its mobile quantum computers. At Hannover Messe this week, the company unveiled the QC2026 DUAL CORE – a quantum computer featuring two quantum processors running in parallel with 5 qubits per processor core. The qubits are generated using NV technology in diamond chips, enabling stable operation at room temperature, without cooling, and powered by any standard wall outlet. With this new generation, SaxonQ has delivered a significant boost in speed and performance for its mobile system. With dual-core technology, SaxonQ takes a decisive step forward: two processor cores compute jointly within a single system, can be controlled independently, and are capable of executing parallel operations. This demonstrates that SaxonQ’s quantum processors can potentially be scaled to multi-core systems with any number of cores. A new readout technology has also significantly increased the speed of the quantum computer.