The problem

Hardware instability kills performance

Don't let decoherence, noise, and errors stop your research.

Overcoming instability is essential to building the next generation of quantum hardware. Whether it's a new device architecture or a unique quantum system, controlling the quantum realm is always a bottleneck.

The old ways—manual operation, on/off pulsing, purely analytic models—just can't keep up with the pace of innovation. Researchers at the cutting edge need access to quantum control solutions as advanced as their hardware designs in order to push the frontiers of knowledge.

INTRODUCING BOULDER OPAL TOOLKIT

Solve fundamental quantum hardware and control problems

The Boulder Opal Toolkit provides the most advanced technologies for quantum control design, operation, and automation in your hands through a simple and powerful python package.

Gain the insights you're seeking by putting quantum control to work

A complete toolkit spanning Hamiltonian-level simulation, control design, and closed-loop optimization.

Simulation
Build digital twins for your quantum system, incorporating noise terms, control signals, temporal dynamics, and large Hilbert spaces.
Model-based control
Design and optimize new control solutions to suppress noise or manipulate your Hilbert space in ways never before possible.
Characterization
Accurately define hardware specifications, Hamiltonian parameters, and environmental noise.
Closed-loop optimization
Implement automated feedback loops for design, calibration, and hardware-performance optimization tasks.
Two engineers wearing safety glasses adjusting machinery with wires and valves in a technical workspace.
Who is it for

Quantum control toolkit for hardware researchers

Accelerate your hardware research and development.

Faster project timelines
Accelerate research with purpose-built tools and cloud computing resources to reach target results faster.
Seamless workflow integration
Integrate easily with research environments using a simple Python client that supports common control electronics.
Cohesive collaboration
Connect theoretical and experimental workflows to make it easier to exchange ideas and insights across research groups.
Effective research support
Access comprehensive documentation and dedicated support channels whenever you need assistance.
DEPLOYMENT AND Support

Universal compatibility

Get up and running in minutes with your existing stack.
Leverage universal control techniques that function above the physical qubit. Add powerful new capabilities with minimal effort, whether you use common Python packages or a wide range of control electronics.
Softwares
Qiskit, Quil, and QuTiP.
Controllers
ARTIQ, Keysight, Qblox, Quantum Machines, Tabor Quantum Solutions, and Zurich Instruments.
Supported modalities
Superconducting qubits, silicon qubits, trapped-ion qubits, neutral-atom qubits, color centers, and NV diamonds.

What teams are saying about Boulder Opal Toolkit

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

In a qubit-based model, the redundancy required for error correction comes at the cost of using many physical qubits to construct a single logical one. The resonator has an infinite number of levels and there are several proposals to explore this large Hilbert space for better redundant encodings.

Marina Kudra
PhD Student, Chalmers University of Technology

Given the complexity of the physics at play, being able to perform closed-loop optimization of a few physically motivated parameters of the quantum error correction protocol with Boulder Opal is very valuable to us.

Dany Lachance-Quirion
VP Quantum Hardware at Nord Quantique
PLANS

Built for every stage of quantum hardware development

From exploratory research to advanced device optimization, choose the capability and support that fits your team's goals.

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

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

Performance

$9.99

$5,000

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

Professional

Request a quote

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

Frequently asked questions

A locally installed version of Boulder Opal can be provided upon request for circumstances mandating ultra-low latency in hardware communications. We recommend the cloud instance for general computations, as cloud services can provide performance far exceeding the specifications of the local machine.

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 our Get started guide and Tutorials.

The number of calculations that 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.

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.

Boulder Opal licenses can accommodate an unlimited number of users, but may be limited in the number of systems that can be connected.

Latest news and updates

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Accelerate quantum
hardware research