As the boundaries between classical and quantum computing move closer together, the industry is converging on one vision: the future of high-performance computing (HPC) will be heterogeneous where quantum computing will emerge as another “tool in the toolbox” of available compute architectures.
This shared vision was central during a panel on HPC and quantum systems at the Quantum Effects conference in Stuttgart, where our VP of Business Development Tom Wilson joined experts from EleQtron, Qualitative Computing, TeAnCo, and CEA to explore what this convergence means for science, industry, and the workforce powering it.
At QuantWare, we see HPC and quantum as fundamentally intertwined. Each technology feeds the other. Just as GPUs transformed AI workloads, quantum processors are emerging as the optimal architecture for entirely new classes of problems, from complex optimization and simulations to applications yet to be imagined.
In the compute architectures of the future, tasks will be dynamically routed to the most suitable resource (CPU, GPU, or QPU) depending on the problem. Quantum won’t replace classical compute; it will complement it. At the same time, quantum computing itself will depend on HPC. Running large-scale quantum error-correction routines or decoding tasks for MegaQubit resources will require racks of GPUs and classical compute supporting the quantum compute resource.
And as quantum systems scale to multi-10s of megawatts power demands, energy consumption efficiency will be as critical as qubit count, mirroring how modern AI hyperscale centers are pushing the classical semicon industry towards lowering power usage. This is where VIO, our proprietary 3D scaling technology, delivers a crucial advantage – reducing interconnect length and power consumption at scale, directly lowering the energy cost per qubit and making sustainable quantum computing achievable.
The challenge ahead lies in integrating Quantum Compute into HPC workflows which will require middleware and scheduling layers that can allocate classical and quantum jobs seamlessly. And these foundations are already forming.
The open-source Qubernetes community, for instance, is adapting Kubernetes for quantum-classical hybrid workloads, exploring how to dispatch and balance computational resources across heterogeneous architectures. This marks a turning point: the conversation around quantum computing is moving from conceptual to engineering-level integration, the stage where quantum becomes practical infrastructure.
“We’re entering an ‘engineering phase’ and what is required next is what QuantWare is focused on: MegaQubit scale quantum compute.” — Tom Wilson, VP of Business Development, QuantWare
With this shift comes a new demand for skills. Tomorrow’s computing workforce will be profoundly interdisciplinary. Physicists, software engineers, datacenter technicians, RF specialists, and algorithm developers will have to speak a shared language.
This evolution doesn’t replace existing skills; it redefines them. As the industry grows, it will create new opportunities for today’s engineers and technologists to apply their expertise to the next generation of computing systems.
Adoption will be driven by access. Just as no one designed GPUs for AI but discovered their suitability through experimentation, new breakthroughs will emerge once researchers can actually access Utility Scale quantum computing resources.
“We didn’t invent the GPU for natural-language processing, it was there, and innovation found it. Quantum Compute will be the same. Once the Utility Scale resource is available, people will innovate as they always do.” — Tom Wilson, VP of Business Development, QuantWare
The real opportunity isn’t in chasing “quantum advantage,” but in achieving business advantage: delivering applications that open new markets and solve real-world problems. As scalable hardware becomes accessible, the innovation cycle between HPC and quantum will accelerate, driving progress in fields from materials science and finance to climate modeling and advanced manufacturing.
HPC and quantum computing are no longer parallel disciplines, they are converging into a single, layered ecosystem. From specialised infrastructure to interdisciplinary teams and shared software frameworks, the groundwork for hybrid computing is already being laid.
At QuantWare we’re proud to be building that foundation, delivering the scalable and sustainable hardware that will power the hybrid computing era. By driving the transition to utility-scale quantum computing, we’re enabling the next wave of growth and real-world applications that will define the future of computation.
