An integrated high-performance computing ecosystem blending classical supercomputing with quantum processors to deliver accelerated workloads for optimization, materials discovery, simulation, and AI research.
Hybrid Classical–Quantum HPC Initiative
The integration of quantum backends with national HPC clusters aims to establish a seamless, interoperable environment where quantum processors, simulators, and emulators can be accessed as specialised accelerators within Malaysia’s high-performance computing ecosystem. This effort involves developing middleware, APIs, and unified job submission frameworks that allow researchers and industries to run hybrid workflows across classical compute nodes and quantum resources. By embedding quantum capabilities directly into national HPC facilities, the initiative positions Malaysia to support advanced simulation, optimisation, and AI workloads requiring next-generation computational paradigms.
This initiative focuses on leveraging quantum algorithms and quantum-enhanced computational models to accelerate complex simulation, optimisation, and AI tasks that exceed the efficiency of conventional methods. It includes developing hybrid classical–quantum algorithms for materials modelling, financial risk optimisation, route scheduling, machine learning training, and high-dimensional pattern recognition. By demonstrating tangible performance benefits across scientific and industrial domains, this work establishes clear pathways for early quantum advantage and practical adoption of quantum-enhanced applications.
Cloud-native orchestration and scheduling efforts aim to build intelligent workload management systems capable of routing tasks across classical CPUs/GPUs and quantum backends based on resource availability, latency, cost, and algorithmic suitability. This includes developing Kubernetes-based orchestration layers, scalable containerised runtimes, and dynamic schedulers that support hybrid execution pipelines. The objective is to provide users with transparent, automated, and optimised access to both classical and quantum resources, enabling enterprise-ready deployment of hybrid applications at nation-wide scale.
Performance tuning for hybrid workloads involves analysing the computational characteristics of mixed classical–quantum pipelines and optimising them for throughput, latency, precision, and resource efficiency. This work includes profiling data movements, minimising overhead in classical–quantum communication, refining quantum circuit depth, and identifying optimal partitioning strategies between classical and quantum tasks. By developing performance analytics tools and best practices, the initiative ensures that Malaysia’s hybrid computational stack can deliver measurable efficiency gains for real-world applications.
The national hybrid compute infrastructure roadmap outlines the long-term strategy for building Malaysia’s integrated classical–quantum HPC ecosystem, including milestones for hardware upgrades, middleware development, talent pipelines, and industry adoption. It sets phased deployment targets, identifies future quantum technologies for integration, and aligns infrastructure growth with national digital, scientific, and cybersecurity priorities. This roadmap guides stakeholders across government, academia, and industry toward coordinated investment and structured progression toward sovereign hybrid compute capabilities.