Opal
Boulder Opal

Build superior quantum computers

Move faster with the most powerful control design
and hardware automation solution for the quantum era.
Chalmers University

Our clients

Nord QuantiquePasqalNorthwestern UniversityJPLNorthwestern UniversityRigetti
The problem

Demand for quantum computing is growing. Can you keep up?

Discover how Boulder Opal supports every stage of your quantum journey, from early exploration to large-scale deployment.

Untamed gate errors suppress hardware performance

Overcoming fickle hardware to achieve higher gate fidelities is key to building the next generation of quantum devices

Process inefficiencies limit the pace of innovation and productization

Onerous, manual tuning tasks slow progress and increase development costs, holding you back from quantum advantage

Research systems fail to meet customer expectations

Whether on the cloud, or on-prem, the industry needs utility-scale systems that work at the push of a button, every time.

The solution

AI-powered quantum control software to accelerate your hardware to quantum advantage

Boulder Opal delivers the best in “AI-for-Quantum” to help uncover true hardware performance at all stages of the quantum computing journey:

  • Researchers can Design control strategies using a toolset that covers theoretical and experimental gate optimization workflows.
  • Hardware teams can Automate control routines with complete solutions for consistent device and calibration data delivery.
  • Quantum product teams and users can Deploy solutions that allows anyone to use this game-changing technology.
Intelligent autonomy

<5min

Time to integration

>99.9%

1-qubit gate fidelities

<4 hours

Time to device bring-up

Choose the path for your quantum workflows

Explore how Boulder Opal supports all stages of your quantum journey - from early exploration to large-scale deployment. See what solution is right for you:

Design

Solve fundamental quantum hardware and control problems

Researchers at the cutting-edge of quantum computing innovation need to evaluate new hardware concepts with effective quantum control processes. Boulder Opal provides the connected theoretical and experimental building blocks to accelerate these design workflows with a comprehensive control toolkit.

Model large, complex system states with speed and accuracy.

Uncover critical system parameters that impact performance.

Push hardware to the limit with optimized control strategies.

Automate and deploy

Streamline control activities on stable quantum devices

Enterprise hardware teams need to move fast and deliver on quantum device goals, but manual, mundane control tasks are sapping progress.
Boulder Opal provides complete packages that automate repetitive control tasks to turbocharge team effectiveness and efficiency.

Title

Achieve performance beyond what's possible manually

Title

Maximize process throughput to cover more in less time

Title

Redirect valuable technical personnel to work on higher priority tasks

Scale up

Autonomous quantum computer calibration and tuneup, tailored to your hardware

Boulder Opal Scale Up combines AI and quantum control to deliver fast, repeatable calibration and characterization, ensuring high-performance quantum systems every time.

Through intelligent autonomy, users save time on routine tasks so they can focus on innovation, accelerating progress toward scalable, reliable quantum advantage.

Whats included

Intelligent autonomy

A central control engine ensures systems are calibrated and maintained to specified performance metrics, no PhD required.

Control functional library

Built for specific hardware architectures, users can access a variety of prebuilt workflows from complete calibration solutions across an entire device, down to individual experiments on a single qubit.

Controller interpreter

Integrated interpreters convert control tasks into lower level languages allowing easy transport of solutions across controller vendors.

Data management and reporting

Results are assigned to a representative virtual device for easy recall of all data in an organized format.

Benefits

Consistent control executions

Expertly design control solutions complete a specified task, every time, bringing more confidence and consistency to hardware operations.

Peak device performance

Finely tuned closed-loop optimizers find ideal gate parameters and outperform human-designed solutions every time.

Improved resource utilization

From expensive hardware to expert personnel, all resources are freed from mundane control tasks to focus on higher priority items.

Direct path to scale

Easily deployable performance and efficiency gains translate to a higher volume of devices with more qubits per device.

Toolkit

Comprehensive quantum control tools to help you build the best-performing quantum hardware

The Boulder Opal Toolkit is built for power and convenience. It includes a complete set of enterprise-grade tools enabling researchers to solve their hardest problems in the quest for better qubits and utility scale quantum devices.

From Hamiltonian-level simulations of complex time domain signals through to closed-loop hardware optimization, Boulder Opal has tools for a broad range of quantum applications.

Whats included

Simulation

Model quantum systems with integrated time-varying noise and signal libraries.

Model-based control

Design control solutions delivering peak performance based on the encoded quantum model.

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.

Benefits

Fast project timelines

Purpose-built tools accelerated by cloud-compute resources means less time to get target results

Seamless workflow integration

A simple Python client integrates easily with research environments and supports common control electronics.

Cohesive collaboration

Connected theoretical and experimental tools create an easier exchange of ideas between research groups.

Effective research support

Comprehensive documentation and dedicated support channels give you a helping hand when you need it.

Support for your quantum hardware

Our tools and solutions leverage universal control techniques that function at a level above the physical qubit. This means Boulder Opal is designed and supported across most physical system modalities.

Superconducting qubits

Silicon qubits and quantum dots

Trapped-ion qubits

Neutral atom qubits

Color Centers and NV Diamond

Get up and running
in minutes

Boulder Opal integrates easily with common Python packages and a wide range of control electronics systems so you can add powerful new capabilities with minimal effort.

Software

Qiskit, Quil, QuTip, ARTIQ

Controllers

Quantum Machines, Qblox, Zurich Instruments, Tabor Quantum Solutions, Keysight

Hardware

We support superconducting, trapped ion, neutral atom, and other types of quantum hardware

What teams are saying about Boulder Opal Scale Up

As we rapidly scale our devices with our VIO technology, tuning up systems built with our QPUs needs to be automated. We are excited not just to use Q-CTRL’s software internally, but especially to help our customers scale their systems faster and with confidence. Boulder Opal with Contralto-A is an extremely powerful combination that will greatly expand the capabilities of our customers

Matthijs Rijlaarsdam
CEO of QuantWare

Our Open Architecture Quantum Testbed project pushes the bounds of quantum computing systems. By integrating software and hardware, we expand the focus beyond processors to the systems engineering required to develop the supply chain, engage more innovators, and accelerate development. We know autonomous calibration tasks, like those developed by Q-CTRL, are a key part to enabling that system-level approach, allowing more users to access quantum computing resources

Dr Joseph Rahamim
Director of Systems Engineering at TreQ
PLANS

We have the right plan for you

Whether you are looking to accelerate research and development progress or deploy on-premises quantum computers, we have the right package for you.

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

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

Scale Up

Contact sales

for pricing or to request a demo

Access to autonomous control solutions

Cloud software platform

Unlimited solution runs per device

Professional support

Real-world use cases

University of Hull, UK

Improving quantum education outcomes with Black Opal at the University of Hull, UK

Enhancing student engagement and real-world understanding in quantum computing through intuitive and interactive learning with Black Opal.

85%

of students reported that Black Opal improved their overall learning outcomes when used alongside their university syllabus, and would recommend its use in future courses.

Read the case study

Students who engaged with Black Opal as an active companion resource significantly boosted knowledge retention and ultimately understanding. Some of them even engaged further with quantum computing by choosing a final-year project in that field.

Dr David Benoit
Senior Lecturer in Molecular Physics and Astrochemistry
,
University of Hull, UK
Nord Quantique

Nord Quantique is accelerating the path to useful quantum error correction with Boulder Opal

Nord Quantique used Boulder Opal to design a hardware-efficient QEC protocol for a superconducting system where quantum information is encoded in GKP states.

14%

increase in logical qubit lifetime

Read the case study

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 of Quantum Hardware
,
Nord Quantique
Australian Army

Improving Army logistics with quantum computing

With Fire Opal, the Australian Army tested and validated a quantum computing solution on real hardware that promises to outperform their existing methods.

12X

improvement in the likelihood of finding an optimal solution with Fire Opal over the default hardware execution

Read the case study

Optimally routing 120 convoys can take more than a month of classical computation. The Australian Army is evaluating the potential of quantum computing to provide improvements; however, it’s been difficult to validate the feasibility of a quantum solution due to hardware noise. With Fire Opal, an algorithmic enhancement software, we are able to achieve results on quantum computers that build confidence in our quantum roadmap.

Marcus Doherty
Australian Reserve Officer
,
Australian Army
Transport of NSW

Delivering quantum computing for faster commuting

Improving algorithmic success for Transport for NSW's complex transport network management and congestion problems using quantum control infrastructure software

>200X

Improvement in algorithmic success.

Read the case study

A rare opportunity for leading transport innovators and quantum computing experts to tackle complex transport network management and congestion problems.

Andrew Constance
Minister for Transport and Roads
,
Transport of NSW
Boulder Opal
Bring innovative quantum solutions to market
Alice & BobAtom ComputingChalmers UniversityNord QuantiqueNorthwestern UniversityPasqal

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.

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.

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.

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.