Q-CTRL digest
Calling all quantum researchers in academia: Solve your toughest R&D challenges with free access to Boulder Opal
June 13, 2023
Build the quantum platforms of the future
Everything you need to automate and optimize quantum hardware performance at scale
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.
Pinpoint and eliminate sources of performance-limiting noise.
Gain new insights to build more resilient devices.
Suppress errors and drifts to keep hardware performance at peak.
Phys. Rev. Applied 15, 064054 (2021)
Deliver results faster
Achieve better results with AI automation and cloud-accelerated computation.
Save hours in system tune-up and calibration.
Solve complex simulation and optimization up to 100x faster.
Integrate with industry-standard software and hardware platforms.
Up to 76x faster than competing numerical packages for critical computational tasks in quantum control.
Maximize productivity
Improve efficiency with professionally engineered, fully documented tools.
Access comprehensive tutorials and reference documentation.
Leverage continuous maintenance and capability expansion.
Achieve more with seamless access to fully managed cloud computing resources.
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.
Read case study
>8X
Reduction in gate duration.
Chalmers University researchers implemented a logical building block for quantum computing that would otherwise have been impossible using standard methods.
Marina Kudra, PhD student at Chalmers
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.
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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.
Alex Hill, Rigetti
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.
Read case study
>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 delivering better value for users
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.
Read case study
<1PPM
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
Dr. Cornelius Hempel
Northwestern looks to the heart of the universe with robust quantum sensors
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.
Read case study
5
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.
Zilin Chen, Postdoc at Northwestern University
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.
Basic
$
0
Free Basic plan, yearly limits apply
For beginners, students, and explorers
Cloud software platform
4 vCPU, 32 GB RAM machine
1 machine (1 calculation at a time)
12 cloud machine hours
Standard support
Get started for free
Essentials
$
1,500
USD / year
Managed compute for small teams
Cloud software platform
8 vCPU, 64 GB RAM machine
1 machine (1 calculation at a time)
200 cloud machine hours
Standard support
Contact us
Performance
$
4,000
USD / year
Expanded computational resources for performance minded teams
Cloud software platform
16 vCPU, 128 GB RAM machine
Up to 4 machines (1 calculation per machine)
400 cloud machine hours
Standard + solutions engineering support
Contact us
Professional
HPC-like resourcing for demanding teams of scientists and engineers
Hybrid cloud software platform
32 vCPU, 256 GB RAM machines
Up to 16 machines (1 calculation per machine)
1600 cloud machine hours
Dedicated + solutions engineering support
Contact us
Boulder Opal Scale Up Package
Fully configured solutions, exclusive toolkits, and accelerated computation to solve the toughest challenges of scaling up your quantum hardware.
Get exclusive access to scaling-focused convenience packages for calibration, characterization, and optimization.
Save time and accelerate progress with full custom configurations for your system built by our expert team.
Solve compute and memory intensive computations faster with expanded cloud-compute resources.
Frequently asked questions
Is the Boulder Opal license limited to a single user?
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.
What is the Hybrid cloud platform of Boulder Opal?
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.
What is calculation concurrency?
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.
What are the cloud machine hours?
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.
Are there resources to help my learning curve?
You can access a comprehensive documentation suite to help you on your journey, starting with Get started guide, and Tutorials.
Are Boulder Opal results validated on hardware or software?
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.
