The rapid development of quantum computing has driven a surge in demand for quantum education, but universities face challenges in finding qualified teachers and affordable teaching aids. In response, SpinQ launched the world’s first desktop NMR Quantum Computer, “SPINQ Gemini”, in 2020, followed by more compact and portable versions. By harnessing MRI technology, SpinQ has integrated quantum computing functions into a lightweight body, making it accessible to students and researchers.
The latest innovation is “SPINQ Gemini Lab”, a full-stack quantum computing lab solution designed for university experiment teaching modes. This platform provides a variety of lab classes, from observing physical phenomena to realizing quantum computing tasks, and can be adapted to existing university experiment courses. With its user-centric approach, SpinQ aims to contribute to the cultivation of quantum computing talents in more institutions and make quantum computing more accessible.
The SPINQ Gemini Lab is an open-chassis system that allows users to directly manipulate and control RF pulses, visualize the internal hardware, and observe the state of the nucleus and quantum states in a sample. This hands-on approach enables students to gain a deeper understanding of quantum computing principles, technology, and applications.
One of the most impressive features of SPINQ Gemini Lab is its ability to implement custom quantum gates based on the control of quantum systems. Users can design and test these gates at the quantum circuit level, allowing them to perform computational tasks that demonstrate the power of quantum computing.
As an NMR (Nuclear Magnetic Resonance) quantum computing platform, SPINQ Gemini Lab is specifically designed for university experiment teaching modes. It covers clear experimental purposes, steps, and phenomena, making it easily adaptable to existing physics experiments, modern physics experiments, research physics experiments, and more.
The platform offers a variety of lab classes to cater to different stages of teaching, including the “Quantum Computing Principle Experiment” course. This comprehensive course takes students on a journey from observing physical phenomena and measuring quantum parameters to regulating quantum systems and realizing quantum computing tasks. The nine sub-experiments are designed to guide students with no prior knowledge of quantum computation through the underlying principles step-by-step.
For more advanced learners, SPINQ Gemini Lab provides opportunities to explore classical quantum algorithms like Shor and Grover using graphical programming and quantum programming languages. Students can also experimentally verify these algorithms in quantum systems from the physical bottom up.
Furthermore, the platform allows students to learn various quantum technologies, such as quantum simulation, quantum precision measurement, quantum communication, spin-magnetic resonance, and pulse modulation techniques, by replacing experimental samples and designing peripheral instruments and equipment.
In addition to teaching experiments, SPINQ Gemini Lab can be used as a platform for research experiments, including quantum optimization algorithms, quantum simulation, optimal control, and other semi-open exploratory experiments. This versatility makes it an ideal tool for researchers exploring quantum information.
What’s more, the platform comes with built-in systematic experimental instructions, theoretical contents, and step-by-step guidelines, allowing users to choose experimental operations according to their course needs and time requirements. This optimized approach reduces the cost of teaching and enhances the learning experience.
As SpinQ continues to iterate and upgrade its products based on user feedback and scenarios, I’m excited to see how SPINQ Gemini Lab will revolutionize quantum computing experimental teaching. With its user-centric approach, SpinQ is poised to make a significant impact in cultivating quantum computing talents across institutions and making quantum computing more accessible to all.
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