Classiq Releases Version 1.0 to Formalize Quantum Software Engineering
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Classiq Releases Version 1.0 to Formalize Quantum Software Engineering Classiq has announced the milestone release of Classiq 1.0, a major version of its quantum software platform designed to transition quantum development from experimental proofs-of-concept to repeatable engineering workflows. The update establishes a “production-ready” baseline for enterprise R&D teams by enforcing software discipline through built-in verification, language expressiveness, and a continuous path from classical problem definition to quantum execution. This release consolidates recent advancements in compiler correctness and AI-driven synthesis, positioning the platform as a foundational layer for teams building long-term, hardware-agnostic quantum applications. Technically, Classiq 1.0 introduces “correct-by-construction” enforcement, where the platform automatically handles uncomputation and variable cleanup, surfacing correctness violations as hard errors before execution to prevent late-stage algorithm failure. The platform’s modeling language, Qmod, has been expanded to support classical local variables, runtime conditionals, and mid-circuit measurements, allowing developers to represent complex decision logic directly. Furthermore, the 1.0 release includes built-in modular arithmetic primitives and supports generative quantum functions through familiar Python control flow. This technical layer is supported by enhanced debugging tools in Classiq Studio, providing deep visibility into how high-level functional intent maps to optimized, hardware-ready circuits.+2 The 1.0 platform is engineered to be hardware-aware, automatically adapting quantum models to the physical constraints of selected backends—including QPUs, GPU-based simulators, and HPC environments—without requiring manual rewrites. This “design once, deploy anywhere” capability is reinforced by integrated cost tracking and memory optimization tools, aimed at reducing the operational overhead of large-scale research. By partnering with major hyperscalers and hardware providers, Classiq aims to bridge the gap between classical domain expertise and quantum hardware realities, ensuring that algorithmic progress remains durable as the underlying hardware landscape evolves. Read the full announcement from Classiq here and explore the technical deep dive in their “From Progress to Practice” blog post here. Explore Classiq 1.0 here. Start building in Classiq Studio here. See the full Classiq 1.0 release notes and documentation for detailed changes, examples, and usage guidance here. February 11, 2026 Mohamed Abdel-Kareem2026-02-11T11:07:41-08:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.