Calling all quantum researchers in academia: Solve your toughest R&D challenges with free access to Boulder Opal
June 13, 2023
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.
Identify and combat noise and error sources that hide your hardware's potential.
Achieve better results with AI automation and cloud-accelerated computation.
Improve efficiency with professionally engineered, fully documented tools.
Combining comprehensive research capability and flexibility with cloud-accelerated performance to help research teams accomplish more in less time.
Boulder Opal integrates with experimental hardware, software packages and custom electronics.Learn more
With Boulder Opal, Chalmers was able to design totally new numerically optimized gates that enable massive speedups without introducing new gate errors.
Reduction in gate duration.
Chalmers University researchers implemented a logical building block for quantum computing that would otherwise have been impossible using standard methods.
Q-CTRL developed new optimized quantum logic gates and integrated their tools with Quil-T to build robustness against error into quantum logic gates.
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.
Q-CTRL developed and tested new optimized quantum logic gates that showed massive improvements in gate errors and stability against hardware drifts.
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 delivering better value for users
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.
Sensitivity error-source identification during quantum logic.
Collaboration between experimentalists at University of Sydney and quantum control engineers at Q-CTRL breakthrough result published in Physical Review Letters
With Boulder Opal, Northwestern was able to design noise-robust pulses for cold atom interferometers 10x better than alternatives, opening the way to build devices capable of detecting dark matter and gravitational waves.
different noise sources can be suppressed simultaneously with a single optimized robust control pulse for atom interferometry.
The breadth and flexibility of Boulder Opal allowed us to create our own optimization scenario and obtain pulses robust to the five most relevant experimental noise sources at the same time! This will be crucial in the development of atomic interferometers to detect dark matter and gravitational waves at currently unexplored frequencies.
Start with our free Basic plan and upgrade if you need to further accelerate research and development progress.
Fully configured solutions, exclusive toolkits, and accelerated computation to solve the toughest challenges of scaling up your quantum hardware.
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.
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.
June 13, 2023
March 3, 2023