{ "hero": { "title": "Where Quantum Computing Meets High-Performance AI", "desc-1": "A unified cloud platform integrating superconducting quantum systems and DGX-based AI supercomputing.", "desc-2": "Designed for practical hybrid quantum–AI workloads across research and enterprise environments." }, "section-2": { "title": "WHAT IS THE HYBRID QUANTUM CLOUD?", "desc-1": "The Hybrid Quantum Cloud is QAI’s next-generation cloud platform that combines quantum computing and high-performance AI into a single computing environment.", "desc-2-first": "Instead of relying only on GPUs and CPUs,", "desc-2-highlight": " ", "desc-2-end" :"QAI integrates a superconducting quantum computer with AI supercomputing infrastructure, allowing different types of computation to work together through one unified cloud platform.", "content": { "item-1": { "title": "Beyond GPU-only computing", "desc": "Combines quantum processors with GPUs and CPUs, rather than relying solely on classical computing resources." }, "item-2": { "title": "Unified hybrid workflows", "desc": "Quantum and AI workloads run together within a single execution flow, instead of separate systems or tools." }, "item-3": { "title": "Designed for next-generation problems", "desc": "Enables new approaches to simulation, optimization, and machine learning that exceed the limits of classical GPU clouds." } } }, "section-3": { "title": "Integrated QPU–GPU Architecture", "desc-1": "QAI’s Hybrid Quantum Cloud is built on a tightly integrated QPU–GPU–CPU architecture, enabling quantum and classical systems to operate as a single computing pipeline.", "desc-2": "This integration transforms quantum computing from an isolated resource into a practical accelerator for real-world AI and HPC workloads." }, "section-4": { "desc-1": "Unlike conventional cloud environments—where quantum computing is accessed as a separate or experimental resource—QAI directly integrates its quantum processing units with high-performance GPU clusters and classical control systems.", "desc-2": "Through this architecture, computational tasks can move seamlessly between quantum processing (QPU), large-scale numerical computation (GPU), and classical control and orchestration (CPU).", "desc-3": "Each component performs the tasks it is best suited for, enabling practical hybrid workloads that are difficult or impossible to execute on GPU-only clouds.", "content": { "item-1": { "title": "Real-Time QPU–GPU Interconnection", "desc": "Quantum processors and GPU clusters operate within the same controlled infrastructure environment, enabling low-latency data exchange and coordinated execution between quantum and classical stages." }, "item-2": { "title": "Unified QPU–GPU–CPU Workflow", "desc": "Quantum circuits, AI models, and classical control logic are executed through a single orchestration layer, forming one coherent hybrid workflow rather than isolated processes." }, "item-3": { "title": "Hybrid Quantum–AI Execution", "desc": "The integrated architecture enables quantum-enhanced simulation, optimization, and machine learning by combining quantum state exploration with large-scale AI and HPC computation." } } }, "section-5": { "item-1": { "title": "High-accuracy quantum simulation powered by large-scale AI supercomputing.", "desc-1": "QAI’s Quantum Simulation Engine leverages NVIDIA DGX B200 systems to perform large-scale molecular and atomic-level simulations that are computationally infeasible on conventional systems.", "desc-2": "This engine enables researchers to explore quantum behavior, validate algorithms, and prepare hybrid workloads before executing them on real quantum hardware.", "content": { "item-1-content": "Drug discovery and molecular interaction analysis", "item-2-content": "Advanced materials and chemical system simulation", "item-3-content": "Catalyst design and reaction modeling" } }, "item-2": { "title": "Enterprise-grade AI and HPC infrastructure for large-scale computation.", "desc-1": "The GPU Cloud component of QAI’s Hybrid Quantum Cloud is built on DGX H200 SuperPOD clusters, delivering scalable and reliable performance for AI training, inference, and high-performance computing workloads.", "desc-2": "Designed for demanding enterprise and research environments, this infrastructure provides direct access to GPU resources without the overhead of virtualization.", "content": { "item-1-content": "Multi-node SuperPOD clusters with a minimum of 32 GPUs per unit", "item-2-content": "Optimized for AI training, large-scale inference, and HPC workloads", "item-3-content": "Bare-metal GPU access for maximum performance and control" } }, "item-3": { "title": "A unified cloud interface for executing hybrid quantum–AI workloads.", "desc-1": "The Quantum–AI Cloud Platform provides a single, integrated interface to access quantum processors, AI supercomputing, and classical orchestration resources.", "desc-2": "Researchers and enterprises can run quantum circuits, hybrid algorithms, and scientific simulations through a unified platform that coordinates execution across QPU, GPU, and CPU systems.", "content": { "item-1-content": "Execution of quantum circuits and hybrid quantum–AI algorithms", "item-2-content": "Support for CUDA-Q, QML frameworks, and QAI orchestration tools", "item-3-content": "Unified scheduling, monitoring, and workload management" } } }, "section-6": { "title": "QAI’s Hybrid Quantum Cloud supports a wide range of academic research and industrial use cases where hybrid quantum–AI computing can deliver practical advantages over classical approaches.", "subsectionLabel1": "How Hybrid Quantum Cloud Enables This", "subsectionLabel2": "Primary Workloads", "content": { "item-1": { "title": "Bio / Pharma", "howEnables": [ "Hybrid QPU-GPU workflows for quantum chemistry simulation", "GPU-accelerated quantum simulation using DGX B200", "Unified orchestration for VQE and quantum-enhanced molecular models" ], "primaryWorkloads": [ "Drug target discovery and binding energy estimation", "Protein folding and reaction pathway modeling", "Quantum-assisted molecular screening" ] }, "item-2": { "title": "Materials Engineering", "howEnables": [ "Quantum simulation of electronic structure and material properties", "GPU-accelerated hybrid quantum-classical workflows", "Unified QPU-GPU execution for large-scale materials experiments" ], "primaryWorkloads": [ "Advanced materials and alloy design", "Battery, semiconductor, and catalyst simulation", "Quantum-enhanced materials optimization" ] }, "item-3": { "title": "Finance & Optimization", "howEnables": [ "Hybrid quantum-classical optimization workflows", "GPU-accelerated scenario simulation and risk modeling", "Unified orchestration across QPU, GPU, and CPU resources" ], "primaryWorkloads": [ "Portfolio optimization and risk analysis", "Scenario-based financial simulation", "Large-scale combinatorial optimization problems" ] }, "item-4": { "title": "Manufacturing & Operations", "howEnables": [ "Quantum-assisted optimization for complex routing and scheduling", "GPU-based simulation for large manufacturing systems", "Integrated execution of hybrid quantum-AI workloads" ], "primaryWorkloads": [ "Production scheduling and resource allocation", "Supply chain and logistics optimization", "Industrial process simulation" ] }, "item-5": { "title": "AI Research", "howEnables": [ "Integration of quantum processors with DGX H200 SuperPOD clusters", "Support for CUDA-Q, QML, and hybrid AI workflows", "Unified orchestration of training, inference, and quantum experiments" ], "primaryWorkloads": [ "Quantum machine learning research", "Hybrid AI model training and evaluation", "Experimental quantum-AI algorithms" ] }, "item-6": { "title": "Engineering & Scientific Computing", "howEnables": [ "Quantum-enhanced physics and optimization models", "GPU-accelerated large-scale simulation workloads", "Unified QPU-GPU-CPU execution environment" ], "primaryWorkloads": [ "Computational physics and engineering simulation", "Climate and energy system modeling", "Large-scale scientific computing experiments" ] } } }, "section-7": { "title": "Quantum computing becomes practical when it operates alongside real-world AI and high-performance computing.", "banner-desc": "QAI’s Hybrid Quantum Cloud transforms quantum computing from an isolated research concept into a usable, enterprise-ready computing resource. By integrating quantum processors directly with AI supercomputing and stable infrastructure, QAI enables organizations to explore, test, and apply quantum-enhanced computation with confidence.", "end-desc": "Hybrid quantum–AI computing is no longer experimental — it is operational, accessible, and ready today.", "button-text": "Explore Hybrid Quantum Cloud" }, "section-img-content": { "title": "Unified Quantum–AI Workflow & Orchestration", "image": "../assets/images/hybrid-quantum-cloud/third-section-bg.png" }, "section-quote": { "content": "Together, these components form a unified Hybrid Quantum Cloud capable of supporting real-world research and enterprise workloads." } }