Classiq 1.0 Delivers Production-Ready Framework for Quantum Engineering

Classiq has today, February 11, 2026, announced the release of Classiq 1.0, a landmark version of its software platform designed to move quantum computing beyond experimentation and into practical engineering. The new release addresses critical challenges in building reliable quantum software – including correctness, repeatability, and cost control – for enterprise research and development teams. Classiq 1.0 consolidates recent advancements in language expressiveness, compiler correctness, and execution, and integrates AI-driven guidance for optimized quantum models. “Classiq 1.0 is a commitment to quantum software as an engineering discipline,” said Nir Minerbi, CEO and co-founder of Classiq. “Teams need a platform they can build on with confidence…This release unifies what we have delivered across the platform into a production-ready framework for long-term quantum engineering.” Classiq 1.0: Production-Ready Framework for Quantum Engineering A significant shift in quantum computing has arrived with Classiq 1.0, a new release focused on transforming theoretical progress into dependable software workflows. For years, the field has prioritized qubit counts and demonstrations, but Classiq addresses the crucial need for robust, repeatable, and cost-effective quantum software development, particularly as organizations move beyond experimentation. The platform is designed for enterprise research and development groups, algorithm developers, and engineering teams seeking to integrate classical and quantum computing logic. Classiq 1.0 introduces “correct-by-construction” enforcement, automatically managing uncomputation and flagging correctness violations as critical errors before execution. Updates to Qmod, the platform’s modeling language, now include classical local variables, runtime conditionals, and richer assignment semantics, alongside generative quantum functions utilizing Python control flow. “Quantum development teams need tooling that reduces fragile handoffs and makes complex programs easier to inspect, debug and maintain,” said Lior Gazit, Vice President of Product at Classiq. The release also provides deeper visibility into model structure and control flow, enabling developers to trace high-level logic to generated quantum programs. Hardware-aware execution adapts models to backend constraints while maintaining logical intent, integrating execution, cost tracking, and support for both GPU-based simulation and high-performance computing deployments.

Qmod Language Updates Enhance Expressiveness & Correctness Classiq 1.0 delivers significant enhancements to its Qmod language, moving beyond basic qubit manipulation towards robust software engineering practices. Previously, quantum computing’s advancement was largely quantified by qubit counts and theoretical demonstrations; now, the focus shifts to building dependable workflows for real-world applications, addressing longstanding issues of correctness, repeatability, and cost. The latest release introduces classical local variables, runtime conditionals, and mid-circuit measurements to Qmod, expanding its capabilities for modelling complex problems. Richer assignment semantics, including arrays and in-place updates, alongside built-in modular arithmetic primitives, further bolster the language’s functionality. These updates aren’t simply about adding features, but about enforcing reliability. The platform also facilitates bidirectional conversion between Qmod and QASM, ensuring interoperability, and leverages AI-driven guidance to translate intentions into optimized quantum models while maintaining transparency. Hardware-Aware Execution with Cost Tracking & Scalability Classiq is tackling a crucial bottleneck in quantum computing’s progression – translating theoretical gains into practical, scalable software. Beyond simply increasing qubit counts, the company’s Classiq 1.0 platform focuses on adapting quantum models to the realities of available hardware, ensuring logical intent is preserved even as backend constraints shift. A key component is integrated cost tracking, a feature increasingly vital as quantum resources remain expensive. Classiq 1.0 is a commitment to quantum software as an engineering discipline. Source: https://www.globenewswire.com/news-release/2026/02/11/3236142/0/en/Classiq-Releases-Quantum-Software-Engineering-Platform-Version-1-0.html Tags: Quantum News As the Official Quantum Dog (or hound) by role is to dig out the latest nuggets of quantum goodness. There is so much happening right now in the field of technology, whether AI or the march of robots. But Quantum occupies a special space. Quite literally a special space. A Hilbert space infact, haha! Here I try to provide some of the news that might be considered breaking news in the Quantum Computing space. Latest Posts by Quantum News: ESA Highlights Women in STEM Across EIROforum Network for International Day of Women and Girls in Science February 11, 2026 UMass Amherst Reveals “Leaky” Potassium Channel Behavior, Advancing Understanding of Body’s Electrical System February 11, 2026 NASA’s Hubble Reveals Unprecedented Detail of Dying Star’s ‘Egg Nebula’ February 11, 2026