Build the quantum platforms of the future
Flexible and powerful tools for quantum research
Boulder Opal provides the cutting-edge techniques you need to solve your toughest research and development challenges, complete with managed access to powerful cloud-compute resources.
Improve hardware performance
Identify and combat noise and error sources that hide your hardware's potential.
Deliver results faster
Achieve better results with AI automation and cloud-accelerated computation.
Maximize productivity
Improve efficiency with professionally engineered, fully documented tools.
How it works
Combining comprehensive research capability and flexibility with cloud-accelerated performance to help research teams accomplish more in less time.
Go from signup to integration in minutes
Boulder Opal integrates with experimental hardware, software packages and custom electronics.
Learn more
Real-world use cases
Chalmers achieves 8X faster quantum logic using Boulder Opal
With Boulder Opal, Chalmers was able to design totally new numerically optimized gates that enable massive speedups without introducing new gate errors.
>8X
Reduction in gate duration.
It was really easy to go from code to experiments. I started from the relevant notebook in the documentation, followed the steps, adapted when necessary, and it simply worked! We’re now using Q-CTRL pulses that allow us to cut the time of our gates by eight times.
Improving robustness to quantum-logic calibration errors by 7X
Q-CTRL developed new optimized quantum logic gates and integrated their tools with Quil-T to build robustness against error into quantum logic gates.
7X
Improvement in gate robustness to amplitude miscalibration.
Q-CTRL’s work has the potential to significantly improve algorithmic performance and hardware stability in quantum processors.
Making quantum logic 10X better on quantum computers
Q-CTRL developed and tested new optimized quantum logic gates that showed massive improvements in gate errors and stability against hardware drifts.
>10X
Gate-level hardware improvement.
We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor. These results show just how powerful pulse-level control can be for programming a quantum computer over the cloud.
Making sense of quantum noise with machine learning
Q-CTRL’s quantum control engineers developed a new machine-learning tool allowing high-fidelity reconstruction of the spectral “fingerprint” of noise, given measurement data.
<1PPM
Sensitivity error-source identification during quantum logic.
The team at Q-CTRL was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense from our data and gain real insights into how to improve our hardware.
We have the right plan for you
Start with our free Basic plan and upgrade if you need to further accelerate research and development progress.
Boulder Opal Scale Up Package
Frequently asked questions
Boulder Opal cloud licenses can accommodate an unlimited number of users. We provide recommendations for different license tiers for different group sizes to ensure that internal competition among users does not lead to computational delays.
Hybrid cloud combines local deployment for low-latency execution with cloud acceleration for compute-intensive tasks. The Boulder Opal Scale Up package can be customized based on needs.
Number of calculations can be run concurrently across multiple cloud-hosted machines to accelerate computation. Having a higher concurrency is useful when you want to speed up your calculations or share computational resources within your team.
Number of hours of running a single cloud-hosted CPU machine in a year. You can buy additional machine time to supplement your Essentials, Performance or Professional plan.
You can access a comprehensive documentation suite to help you on your journey, starting with Get started guide, and Tutorials.
We have independently validated and published technical validation of key demonstrations on hardware through our research - this includes device-level demonstrations of improvements >10X.
We have also established a range of hardware validations with our customers and R&D partners around the world, collected in our case studies.