With complementary timing alongside World Quantum Day 2025, access to quantum machine learning is expanding with Terra Quantum’s announcement of their closed beta launch of TQ42 Studio, a new ecosystem for hybrid quantum-classical AI development. The platform features two main components: QAI Hub, a no-code interface for building quantum AI models, and Qode Engine, a Python SDK for experienced developers. The announcement supports Terra Quantum’s focus on reducing adoption barriers in quantum computing. QAI Hub is a visual environment that allows users to build quantum-classical machine learning workflows without writing code. As noted by Terra Quantum, QAI Hub is designed to simplify model creation, tuning, and execution by abstracting quantum components into a drag-and-drop interface. The tool targets data scientists, ML engineers, and innovation teams who may not have extensive quantum programming expertise but are interested in exploring quantum-enhanced approaches. QAI Hub includes TQ Copilot, an “agentic AI” feature that allows users to interact with the system using text or voice commands. The AI assistant handles a range of model-building tasks, such as swapping quantum layers or tuning hyperparameters, thus streamlining development. This agentic interaction layer is exemplary of a broader trend in AI tooling toward natural-language-driven interfaces.

Full report : Terra Quantum launched the closed beta of TQ42 Studio, introducing QAI Hub (a no-code quantum ML platform) and Qode Engine (a Python SDK) to support hybrid quantum-classical AI development.