Insider Brief
- Qoro has launched Solo, a self-serve cloud platform that provides individual developers, enterprises, and scientists with streamlined access to classical simulation of hybrid quantum-classical workloads.
- Solo enables users to design, test, and scale workflows across CPUs, GPUs, and QPUs without extensive custom integration, reducing infrastructure complexity and cutting benchmark simulation times from more than a day to under 10 minutes for 9,000 jobs.
- The platform operates alongside Qoro’s enterprise offering Dedicato and is built on the company’s core technologies — Divi, Composer, and Maestro — which support hybrid workload development, orchestration, and multilayered parallelized simulation across heterogeneous hardware.
PRESS RELEASE — Qoro has announced the launch of Solo, giving individual IT developers, enterprises, and scientists seamless, self-serve access to classical simulation of hybrid quantum workloads.
Currently, building workflows across fragmented hybrid computing systems – which combine CPUs, GPUs, and Quantum Processing Units (QPUs) – requires deep academic expertise, months of custom integration code, and complex hardware translation. However, through Qoro’s new cloud service, Solo, developers and scientists no longer need to write extensive code every time they test a new simulator, a new quantum backend, or scale to high-performance computers (HPC).
By eliminating the infrastructure headache, Solo saves enormous amounts of time, making the design, simulation, and scaling of quantum-classical workloads much more accessible. For example, where running 9,000 quantum simulation jobs on a standard local setup takes more than a day, Solo completes the same workload in under 10 minutes*.
“Developers working on large-scale quantum computing problems, such as financial portfolio optimisation, are hitting the limits of classical simulation – problems that have outgrown even high-performance servers, yet remain too complex for today’s physical QPUs,” said Dan Holme, CEO of Qoro Quantum. “While the broader industry focuses heavily on job orchestration, managing workloads sequentially through queues, Qoro delivers multilayered parallelisation, from the application maths to the algorithmic processing.”
While Solo provides shared cloud-based simulation, Qoro also offers Dedicato, which enables enterprises to install the Qoro stack in their own environments, on-premise or in the cloud.
Solo and Dedicato act as the access layer to Qoro’s core technologies:
- Divi: Qoro’s open-source Python library, enabling developers to build hybrid computing workloads directly from their own development environment.
- Composer: Qoro’s tool for orchestrating, scheduling, and executing quantum workloads across heterogeneous hardware and simulators.
- Maestro: Qoro’s intelligent simulation framework. This multi-simulator interface pushes classical simulation to its limits across CPUs, GPUs, and QPUs.
“CPUs, GPUs, and QPUs all have distinct advantages, but they are historically siloed. We created Solo to bring those worlds together,” explained Dr Stephen DiAdamo, CTO of Qoro Quantum. “We act as the connective glue that treats multiple compute resources as one logical machine, allowing teams to seamlessly switch between modalities without having to rewrite code.”
To access Solo, receive $100 of free compute time, and begin running parallelised algorithms today, visit: https://dash.qoroquantum.net/
Notes:
* During one internal benchmark, Solo executed a 250-node QAOA max-cut program using graph partitioning containing at most 30 nodes per partition. Solo completed 9,000 jobs in under 10 minutes, including all post-processing.
