Announcing TQ42 Studio: No-Code Quantum AI Made Accessible in Closed Beta

On April 14, 2025, Terra Quantum announced the launch of its closed beta for TQ42 Studio, featuring QAI Hub—a no-code quantum machine learning platform—and Qode Engine, a Python SDK. This initiative aims to lower barriers to quantum AI adoption by enabling users to build hybrid quantum-classical models through an intuitive visual interface and leveraging an agentic AI copilot for task automation. The beta invites participants to experiment with these tools, provide feedback, and influence the evolution of accessible quantum AI, coinciding with World Quantum Day celebrations.

Announcing TQ42 Studio Closed Beta

The launch of TQ42 Studio’s closed beta marks a significant step in democratizing quantum AI technology. This platform comprises two main components: QAI Hub, designed for no-code quantum machine learning, and Qode Engine, a Python SDK offering advanced scripting capabilities. Together, they aim to bridge the gap between cutting-edge quantum computing and practical application.

Quantum AI holds immense potential but is often hindered by steep learning curves and complex implementation processes. TQ42 Studio addresses these challenges by providing tools that reduce barriers to entry, making quantum AI more accessible to a broader audience.

At its core, QAI Hub simplifies the creation of quantum models through an intuitive interface, allowing users to build and experiment without deep coding knowledge. The integration of TQ Copilot further enhances this experience by automating routine tasks, enabling users to focus on innovation rather than technicalities.

For developers seeking more control, Qode Engine offers a robust set of tools, including advanced libraries and the ability to integrate with existing MLOps pipelines. This dual approach ensures that both newcomers and seasoned professionals can leverage quantum AI effectively.

Participation in the beta is straightforward: interested parties can apply through a brief form, gain access to both QAI Hub and Qode Engine, and contribute feedback crucial for refining the platform. By joining, participants not only explore cutting-edge technology but also play a pivotal role in shaping its future direction.

Calling All Pioneers Join Our Closed Beta

The QAI Hub simplifies quantum machine learning development by offering an intuitive no-code interface. Users can build and experiment with quantum models without requiring deep technical expertise. The integration of TQ Copilot automates routine tasks, enabling users to focus on innovation rather than technical details. This approach lowers entry barriers for organizations exploring quantum AI without significant upfront investment in training or resources.

For developers seeking more control, the Qode Engine provides advanced scripting capabilities through a Python SDK. It allows seamless integration with existing MLOps pipelines, ensuring that quantum computing can be leveraged alongside current workflows. The tool is designed for professionals who require fine-grained control and customization in their quantum machine learning projects. By offering robust libraries and tools, Qode Engine supports complex applications while maintaining compatibility with established practices.

Participation in the beta program involves applying through a brief form to gain access to both QAI Hub and Qode Engine. Contributors provide feedback crucial for refining the platform, playing a pivotal role in shaping its future direction. This dual approach aims to accelerate practical quantum AI application by addressing diverse skill levels within the developer community.