Computing
integrated quantum computing powered by diamond
We are designing quantum systems that scale horizontally and integrate seamlessly with existing infrastructure, enabling quantum computing to become a commercially viable and widely deployable technology.
Our quantum-diamond chips will power tomorrow’s digital infrastructure efficiently: compact quantum accelerators that can be embedded directly into classical computing environments.
Quietly integrated. Everywhere that matters.
high-performance quantum computing
compute that scales with demand
We work with customers to embed quantum processors into realistic workflows where parallel evaluation is essential.
Commercial computation is driven by workflows that demand throughput, concurrency, and predictable performance. Value is created by executing many related computations concurrently, not by serially running a single, ever-larger job. In these workflows, quantum must run as a classically orchestrated pool of concurrent accelerators.
This approach supports application areas such as:
- computational materials discovery, including parallel evaluation of material configurations, reaction pathways, and embedding-based simulations
- data-parallel machine learning workflows where many independent model evaluations, optimizations, or inference tasks can be offloaded to quantum accelerators
- accelerated simulation pipelines combining classical HPC and quantum accelerators for parameter sweeps, uncertainty quantification, and scenario analysis
- cloud-accessible quantum acceleration enabling multi-user, multi-job workloads in data centers and hyperscale environments
quantum computing anywhere
from data to decisions, where it matters the most
By focusing on compact, integrated quantum processors that operate alongside classical compute, we are laying the groundwork for future quantum-enabled edge systems that are both ambitious and grounded in disciplined engineering.
Future systems will increasingly operate in complex, dynamic environments where decisions must be made close to the source of data. Edge quantum accelerators complement classical processing with new capabilities for reasoning under uncertainty and identifying meaningful structure in complex correlations.
In embodied systems, these capabilities could support interaction in unstructured environments. Applications include:
- real-time decision support in autonomous and robotic systems operating in dynamic, unstructured environments
- on-device reasoning under uncertainty, complementing classical AI with quantum-enhanced inference or optimization primitives
- world-model execution and updating for embodied systems such as humanoid robots and advanced automation platforms
- edge-deployed quantum acceleration integrated alongside classical processors where latency, bandwidth, or connectivity are constrained
diamond quantum, deployed
proven in real-world HPC environments
In 2022, we installed the world’s first diamond quantum accelerator at the Pawsey Supercomputing Centre, enabling early work on quantum classical integration, orchestration, and day to day operations in an HPC environment, while supporting sustainable computing through our energy efficient platform.
Since then, our systems have been deployed at Oak Ridge National Laboratory in the U.S., and Fraunhofer IAF in Germany, allowing users to:
- simulate quantum computing back-ends with realistic noise models
- mature the operational mechanics of hybrid computing, including orchestration, scheduling, and workflow execution in real environments
- explore advanced computing methods, including parallelized quantum algorithms, that scale performance and support tight integration with HPC systems