Flexible Quantum Hardware Access Bundles

Stay Flexible and Switch Infrastructure Based on Your Needs

Run your algorithms using well established frameworks. Code in Qiskit (OpenQASM), Penny Lane, Tensorflow Quantum and many more without an intermediate layer or SDK. Your use case should be the focus and not the underlying hardware or provider.
To ensure market advantage an adaptive development approach as well as hybrid integration is key. The setup even positions your organisation well to run all sorts of workloads including quantum machine learning algorithms.

Take Advantage of Shorter Queue times

Real world applications of quantum algorithms require a hybrid setup and therefore, the frequency of communication between the different modalities is key. Queue times can make a use case infeasible. Reduce your waiting and load time with our premium access or even remove waiting completely. Execute hybrid workloads as they are supposed to.

Get the best out of running circuits

To ensure high quality results, keeping errors to a minimum is key. By using different quantum computing technologies, leveraging their advantages and use IonQ's and IBM' established techniques for error mitigation and suppression, high quality results are ensured. Such a setup can even decrease the necessary runtime for algorithms. Optimising the used circuits with build in technologies will increase the quality even further.

Full toolset to run various in-depth experiements

Being able to run algorithms natively removes a vendor lock-in and provides the option to integrate a wide variety of open source code. When running highly optimised workloads for quantum computing, it is a necessity to have full control over the toolset. Run natively on the machines e.g. using Qiskit and obtain results as combined or per shot.

*per shot measurement not yet available for IonQ machines