Connecting the quantum ecosystem
Quantum computing is still evolving. We’re working across Cloud, AI, HPC, and quantum technologies to build ecosystems, benchmark and support the connected infrastructure hybrid quantum environments will require.
Connect the ecosystem
Quantum will depend on more than quantum computing hardware. Along with Computing, there are also opportunities to navigate within next generation Quantum Networks and Quantum Encryption technologies. Data, cloud, AI, GPU, HPC, and partner environments will all play a role in successful outcomes along with integration to infrastructure that can bring those environments together.
Most quantum work today remains research, testing, and benchmarking. Our infrastructure can support secure, high-performance connections between classical and quantum environments as organizations explore where hybrid approaches may deliver value.
There are however, a few promising opportunities to explore early quantum-hybrid applications by combining classical and quantum technologies. We are actively pursuing these with some of the leading partners in this space, exploring where we can have impact and benchmarking in our Digital Realty Innovation Labs (DRIL).
Learn more about our Quantum Technologies within our London DRIL
FAQs
What role does Digital Realty play in quantum computing?
Our role is to provide the connected infrastructure and ecosystem access that can bring data, cloud, AI, HPC, and quantum environments together. As quantum technologies mature, these connections can support research, experimentation, and future hybrid workloads.
Will quantum computing replace classical computing?
No. Quantum systems are designed for specialized calculations, not entire applications. Classical compute, AI, GPUs, and HPC will continue to handle most workloads and will work alongside quantum systems in hybrid environments.
What kinds of workloads are being explored for quantum computing?
Research is focused on complex problems including optimization, simulation, financial modeling, drug discovery, materials science, and some AI and machine learning applications. Most of these use cases are still being tested and benchmarked rather than deployed broadly in production.
How mature is enterprise quantum computing?
Enterprise quantum computing is still early. Organizations are researching potential applications, testing algorithms, and benchmarking hybrid quantum-classical approaches to understand where quantum may eventually provide an advantage.
Why does data center infrastructure matter for quantum computing?
Quantum does not operate in isolation. Hybrid workflows can depend on data, classical compute, AI, GPU and HPC environments, cloud platforms, and quantum systems working together.
Moving from experimentation to practical quantum use will be a long, staged infrastructure journey. Colocation and high-performance connectivity provide building blocks that can help organizations connect these environments securely as their quantum strategies mature.
