Overview
South Korea’s First Commercial Open Superconducting Quantum Computer and Hybrid Computing Data Center
KREO SC-20 is a 20-qubit superconducting quantum computer built on SDT’s full-stack QDM (Quantum Design & Manufacturing) technology.
Designed for seamless integration with GPU and CPU infrastructures, KREO SC-20 provides a production-ready hybrid computing environment optimized for research laboratories, enterprise innovation centers, and data center operations.
The system integrates a superconducting QPU, a high-precision Quantum Control Unit (QCU), and the CryoRack dilution refrigerator, ensuring stability, scalability, and continuous operation.
Through native integration with QubeStack, quantum and classical resources are orchestrated within a unified hybrid computing stack.


Generation of qubit control signals and precision waveforms
Superconducting QPU with CryoRack-based quantum system
Generation of high-frequency pulses and synchronization signals
Time tagging and precision analysis of measurement signals
Coincidence counting for quantum state analysis
Integrated control and quantum experiment management
Acceleration of quantum AI, simulation, and hybrid algorithms
Native QPU–GPU–CPU Hybrid Architecture
This is a standard API-based hybrid quantum workload architecture that integrates seamlessly with HPC environments, maximizing the performance of hybrid algorithms such as VQE and QAOA through the CUDA-Q platform.
Hybrid Computing
QPU, GPU, and CPU work together as a single system, distributing complex computations across quantum and classical processing.
Data Center-Scale Hybrid Computing

NVIDIA NVQLink
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High-speed connectivity between the QPU and GPU enables a real-time hybrid quantum computing environment.
High-Speed QPU-GPU Connectivity

CUDA-Q
Run quantum algorithms in a CUDA-Q environment
Accelerate workloads in AI, finance, and chemistry
Quantum Acceleration for GPU Workflows

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Entry phase for quantum capability development
Education and foundational research experiments
On-premise campus and lab deployment
Regional testbed utilization











