Quantum Computing
Superconducting 20-Qubit Quantum System for Industrial Innovation
QAI operates a superconducting 20-qubit quantum processing unit engineered for real-world industrial and research applications.
By integrating quantum hardware directly with NVIDIA DGX-based infrastructure, QAI delivers a practical hybrid quantum–AI computing environment.
What makes QAI’s QPU different
More Than Access to Quantum Computing
QAI does not provide access to simulated or isolated quantum systems. We directly operate a superconducting quantum processor tightly integrated with AI supercomputing and delivered through a unified cloud platform.
Superconducting 20-Qubit System
A production-ready superconducting quantum system designed for real-world experimentation.
QAI’s Quantum Processing Unit is built on a state-of-the-art superconducting 20-qubit architecture designed to evaluate complex, high-dimensional problem spaces. By leveraging quantum parallelism, the system can simultaneously explore over one million possible states (2²⁰), enabling new approaches to simulation, optimization, and machine learning beyond classical computing limits. The QPU operates in ultra-low temperature environments to ensure stability, precision, and reliable execution.
Scalability with QPU Leaders
Superconducting · Ion Trap · Neutral Atom
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Multi-QPU Architecture
QAI is built on a unified multi-QPU architecture supporting superconducting, ion trap, and neutral atom quantum technologies within a single Quantum–AI data center and cloud platform.
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Hardware-Agnostic by Design
Unlike platforms tied to a single hardware approach, QAI allows customers to select the optimal QPU architecture for each workload — balancing speed, precision, scalability, and operational stability.
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Integrated Quantum AIDC Fabric
All QPU types are fully integrated into QAI’s Quantum AIDC (AI Data Center) fabric, enabling multiple quantum systems to be deployed, networked, and scaled simultaneously.
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Built for Long-Term Scale
This architecture enables QAI to scale from tens and hundreds of qubits today to thousands of qubits in the future - transforming quantum computing from isolated lab systems into industrial-grade production platforms.
INTEGRATED CONTROL & CALIBRATION SYSTEM
Ensuring stable, precise, and repeatable quantum execution
QAI’s superconducting quantum system is supported by an integrated control and calibration framework that ensures stable and repeatable quantum execution. The control system operates in real-time coordination with an NVIDIA DGX–based quantum simulator, enabling continuous calibration, performance monitoring, and execution optimization throughout quantum workloads. This tightly coupled architecture allows QAI to operate quantum hardware reliably within a hybrid quantum–AI computing environment.
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Real-Time DGX–QPU Integration
The QPU is directly linked to a DGX-based quantum simulation environment, enabling real-time feedback, calibration validation, and hybrid quantum–classical execution workflows.
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Quantum Error Mitigation
Real-time quantum error mitigation techniques are applied to reduce noise and improve the reliability of quantum execution without requiring full error correction.
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Designed for next-generation problems
Enables new approaches to simulation, optimization, and machine learning that exceed the limits of classical GPU clouds.
Practical quantum algorithms and hybrid workflows enabled on QAI’s QPU.
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Variational Quantum Eigensolver
A hybrid quantum–classical algorithm for simulating molecular structures and material properties at the quantum level.
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Quantum Approximate Optimization Algorithm
A quantum-enhanced optimization approach designed for complex combinatorial and high-dimensional decision problems.
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Quantum Machine Learning
Hybrid quantum–AI models for learning and classifying high-dimensional data patterns beyond classical feature spaces.
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Industry-Specific Hybrid Quantum Algorithms
Customized quantum–classical workflows tailored to real industrial use cases across simulation, optimization, and analytics.
Practical quantum algorithms and hybrid workflows enabled on QAI’s QPU.
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01
Bio & Materials — Drug Discovery and Advanced Materials
Quantum-level molecular and atomic simulation enabling accelerated drug discovery and development of advanced catalysts and materials.
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02
Finance — Risk & Portfolio Optimization
High-dimensional quantum computation for risk modeling, portfolio optimization, and complex financial analysis.
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03
Quantum Machine Learning
Hybrid learning models enhancing classical AI performance and enabling experimentation with quantum-enhanced ML.
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04
Industrial Proof-of-Concept Platform
Web-based quantum cloud access allowing enterprises and research institutions to initiate quantum POCs without hardware investment.
A quantum system designed, operated, and delivered for real industrial and research impact.
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Korea’s First Commercial QPU
QAI operates Korea’s first commercially available superconducting 20-qubit quantum computer, moving quantum computing beyond laboratory experimentation into real-world accessibility.
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Real-Time Integration Between QPU and DGX SuperPOD
Unlike isolated quantum systems, QAI’s QPU operates in real-time coordination with DGX-based AI and quantum simulation infrastructure, enabling practical hybrid quantum–classical workflows.
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Designed for Both Industrial and Research Applications
The QPU architecture supports applied industrial experimentation while remaining flexible enough for advanced academic and scientific research.
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Fully Cloud-Delivered Quantum-as-a-Service (QaaS)
QAI delivers quantum computing through a unified cloud platform, allowing organizations to access real quantum hardware without building or maintaining specialized infrastructure.
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Unified Platform for Simulation, Optimization, and QML
QAI’s platform supports a wide range of hybrid workloads — including quantum simulation, optimization, and quantum machine learning — within a single, integrated environment.
From experimental technology to practical hybrid computing infrastructure.
QAI’s superconducting quantum processing unit enables organizations to move beyond theoretical exploration and begin real-world quantum experimentation today. By directly operating quantum hardware and integrating it with AI supercomputing and classical control, QAI delivers a stable and practical foundation for hybrid quantum–AI computation. This approach allows enterprises and research institutions to explore complex problems with confidence, supported by real infrastructure, real workflows, and real operational expertise.
Quantum computing is no longer confined to the lab — it is becoming an operational computing resource.