This Q&A interview features Dr. Roger Luo, Co-Founder and CEO of Anyon Technologies on the state of quantum computing infrastructure in Asia Pacific and what it will take for the region to move from research ambition to commercial-scale deployment.
Anyon Technologies is building hybrid quantum-classical supercomputers that run in data centres. The interview was conducted within the wider context of BDx Data Centers partnering with Anyon Technologies to launch Southeast Asia’s first hybrid quantum AI testbed. The collaboration will deploy a hybrid quantum computer at BDx’s flagship SIN1 data centre in Paya Lebar, Singapore.
The discussion explores how governments, data centre operators, cloud providers, and enterprises can build the physical and digital foundations needed for quantum systems to operate alongside today’s AI and high-performance computing environments.
Across the conversation, Dr. Luo asserts that quantum readiness is taking shape through hybrid quantum-AI testbeds, commercial data centre deployments, and shared cloud access models. He also outlines the practical steps enterprises can take now, from identifying high-value workloads and piloting hybrid systems to preparing data, security, and post-quantum cryptography strategies before fault-tolerant quantum computing becomes widely available.
Getting quantum ready for the enterprise – in the right sequence
What infrastructure aspects should Asia Pacific governments and industry prioritise over the next five years — fabrication facilities, quantum cloud infrastructure, component supply chains, talent development, or stronger industry collaboration?
All five matter, but I would sequence them, because they are different layers of the same stack.
The first priority is the physical layer: quantum-ready facilities — data centres with the power, cooling, and integration engineering to host QPUs alongside the CPU and GPU clusters enterprises already run. Quantum systems are no longer lab instruments; they are becoming data centre infrastructure, and Asia Pacific’s world-class data centre and AI ecosystem is exactly the rail quantum should ride on.
The second priority is the access layer that sits on top of that physical capacity: the cloud services, scheduling, and orchestration software that turn a deployed quantum system into a shared regional resource rather than a single-tenant machine.
Deployment without access serves one organisation; deployment with a cloud layer serves an entire economy.”
Third, fabrication facilities and component supply chains — and this is where Asia Pacific holds a structural advantage. Cryogenics, control electronics, cabling, packaging, and chip fabrication map directly onto the region’s existing semiconductor and precision-manufacturing strengths, so building a strong supply-chain position is a nearer-term, more capturable win here than in most other regions.
Talent development I would place after these — not because it does not matter, but because it is the slowest asset to build and it compounds fastest around live infrastructure: engineers grow by operating real systems, not ahead of them. Deploy first, and the workforce follows.
Stronger industry collaboration is the multiplier across all of it — the hybrid quantum AI testbed we are developing with BDx at SIN1 in Singapore is one example of what that looks like in practice.
Quantum in the Cloud
How important will cloud-based quantum services and shared research infrastructure be in democratising access, and what more needs to happen before they become widely available across the region?
They will be decisive — and they are how the regional market grows. For most organisations, the natural way to consume quantum computing is through cloud services running on systems hosted in commercial data centres, for a simple reason: hosting a quantum system well is technically demanding — cryogenics, control electronics, calibration, and deep integration with accelerated computing — and that burden belongs with specialist operators rather than with every end user.
What cloud access gives an enterprise is elasticity: it can start with modest access to real, tightly coupled QPU-GPU computing capacity and expand that access as its applications and teams mature, without ever taking on the challenge of hosting the systems itself.
Two things will make this model widely available across the region. First, more in-region deployments — quantum systems installed in commercial data centres close to their users, so regulated industries meet data-residency requirements and hybrid workloads avoid intercontinental latency. Access and deployment reinforce each other: demand aggregated through the cloud is precisely what justifies each additional system a regional data centre brings online. Second, hybrid programming standards such as NVIDIA’s NVQLink and the CUDA-Q ecosystem, so that the code and skills developers build on a shared testbed carry over unchanged as they scale up to dedicated capacity.
That is the vision behind the testbed BDx and Anyon Technologies are establishing at SIN1 — and the model we intend to scale across the region.
Towards fault-tolerance and building the ecosystem
Many enterprises across Asia Pacific are still watching quantum computing from the sidelines, waiting for fault-tolerant systems before making serious investments. What should companies do today to ensure they are ready when the technology matures?
Waiting for fault tolerance is the one strategy guaranteed to leave a company unprepared, because fault tolerance will not arrive as a light switch and become widely available to everyone on day one.”
Capability will compound year by year over the next five years, so the gap between early movers and late adopters is widening at an exponential pace.
Three practical steps. First, identify two or three workloads, such as portfolio optimisation, risk simulation, logistics, or AI — where quantum advantage would be material. Second, run pilots on today’s hybrid quantum-classical systems; the goal is not only discovering early advantage in specific applications and novel algorithms for production value, but also building internal fluency in how quantum workflows actually behave. Third, get the plumbing ready: data pipelines, procurement frameworks, and security — including starting the migration to post-quantum cryptography. The organisations that will win exponentially over their competitors when fault-tolerant systems arrive in five years are those already fluent in, and benefiting from, today’s tightly coupled hybrid quantum computing systems.
As a company building full-stack quantum computing infrastructure, what misconceptions do you most often encounter among governments and enterprises regarding what it takes to build a sustainable quantum ecosystem?
The most common one is treating a quantum computer as a single purchase — as if buying a QPU delivers a quantum capability. What actually sustains an ecosystem is the full stack: hardware, cryogenics and control electronics, calibration and operation software, application development, and the operations talent to run it all reliably. The second misconception is that quantum must live in specialised research facilities; modern superconducting systems are engineered to deploy in commercial data centres alongside classical compute, because that is how enterprises will actually consume them. Third, some assume an ecosystem can be imported turnkey — in our experience, an anchor deployment only becomes an ecosystem when it is commercially hosted and paired with local capability building and recurring commercial workloads.
Finally, expectations are often inverted: people overestimate what quantum will do in two years and underestimate what early integration compounds into over five.”
Quantum in Asia Pacific
Where do you see structural weaknesses in Asia Pacific’s quantum infrastructure readiness, and how can the region close the gaps?
Three stand out. First, a deployment gap: the region has strong public research funding but comparatively few commercial-grade quantum deployments, so capability stays concentrated in a handful of research hubs. Second, facility readiness: very few data centres today are engineered for quantum systems, and regional supply chains for components, cryogenics, and specialised services are still thin relative to the region’s underlying manufacturing strength. Third, talent distribution: expertise is clustered in academia rather than in the operations and integration roles where commercialisation actually happens.
The fastest way to close all three at once is public-private testbeds hosted in commercial data centres — they create demand signals for the supply chain, train operational talent on real systems, and give enterprises a low-risk on-ramp. Regional interconnection then lets smaller markets tap that capacity without every economy having to build everything from scratch.
How should enterprises in Asia Pacific prepare their infrastructure today to accommodate next-generation quantum systems?
Treat quantum as the next phase of your accelerated AI computing roadmap rather than a separate, exotic project.”
Concretely: plan power, cooling, and space headroom the way you already do for AI clusters; prioritise low-latency connectivity to in-region quantum facilities, because for most enterprises the right model is colocation or cloud access — being one network hop away from a QPU — rather than hosting one themselves; build hybrid orchestration into the software stack so quantum processors can be scheduled alongside GPUs with low-latency real-time data transfer to and from co-located QPUs; and begin post-quantum cryptography migration now, because it is the one quantum deadline that arrives regardless of your adoption plans. Enterprises that already run disciplined AI infrastructure are most of the way there — they just need to extend the same playbook by one more accelerator class.
What role is Anyon Technologies playing in bridging Asia Pacific’s quantum infrastructure readiness gaps?
Anyon Technologies builds full-stack modular superconducting quantum systems engineered from the ground up for data centre deployment, and our approach to the readiness gap is to close it through real deployments. In July 2025, together with BDx Data Centers, we announced Southeast Asia’s first hybrid quantum AI testbed, to be hosted at the SIN1 facility in Singapore — integrating QPUs with CPUs and GPUs so that startups, enterprises, and government agencies will be able to develop quantum-enhanced AI applications on real infrastructure without taking on the challenge of hosting quantum systems themselves. We are working closely with BDx toward that deployment.
Our systems integrate tightly with NVIDIA’s accelerated-computing ecosystem as the first QPU partner integrated with NVQLink, and we work with best-in-class partners such as Q-CTRL and Quantum Machines. Together with BDx, we plan to extend this hybrid model to additional markets across the region, building toward a region-wide network of quantum-enabled data centres. The goal is simple: lower the barrier for Asia Pacific enterprises to onboard quantum computing years earlier than they otherwise would.
In which segments of the quantum technology value chain do you see the highest potential for innovation in the Asia Pacific region in the next five years?
The hybrid integration layer is the biggest near-term opportunity: the quantum-AI supercomputing infrastructure, orchestration software, early-advantage applications developed on tightly coupled hybrid quantum supercomputers that make QPUs first-class citizens inside AI data centres.”
Asia Pacific can genuinely lead here because the region already operates some of the world’s most advanced AI infrastructure. Second, quantum-enhanced AI applications — the region’s steep AI adoption curve gives it more near-term surface area for hybrid algorithms than almost anywhere else. Third, the component and manufacturing supply chain: cryogenics, control electronics, cabling, and packaging map directly onto existing precision-manufacturing strengths in Taiwan, Korea, and Japan. And fourth — the one I think is most underrated — quantum data centre operations itself: the standards, tooling, and expertise for running quantum systems at commercial service levels are a brand-new discipline, and Asia Pacific’s operators have a real opportunity to define it globally.
