The problem

Unscalable PhD-reliant operations

As quantum computing scales, manual operation cannot keep up

Imagine Apple without macOS. Or the PC without Windows or Linux. That's how today's quantum processing units (QPUs) ship. The need for manual, expert-driven operation and maintenance is blocking the deployment of quantum computers at scale in the environments that matter most—data centers.

And today's expert-driven stopgaps are failing as the complexity of booting, operating, and maintaining these systems is outstripping even the most savvy technical teams.

INTRODUCING BOULDER OPAL

Autonomous calibration tailored to your hardware

The industry’s first push-button solution for fully autonomous quantum computer bootup, operation, and maintenance, powered by physics-informed AI.
Dark-themed software interface showing a dashboard with tabs for Devices, Jobs, and Toolkit, focusing on a device named Contralto-A 123. The screen displays a Job history table listing job names, types, IDs, and additional details. A smaller overlay window contains code and output related to loading and running a quantum experiment named 'transmon_anharmonicity', displaying parameters and status messages.
Intelligent autonomy
Execute PhD-level workflows without having to manage the workflow yourself; autonomous exception handling keeps your system online.
Hardware bringup and retuning
Accelerate initial calibration and maintain performance beyond what's achievable manually using full pre-built workflows.
Controller interpreters
Translate control tasks across controller vendors, simplifying deployment and ensuring solution portability.
Data management and reporting
Map calibration results to a virtual device for easy data recall, analysis, and visualization.
< 3 hours
Feedline bring-up.
99.95%
Median 1-qubit gate fidelity.
96%
Median 2-qubit gate fidelity.
Devices tuned to performance limits set by hardware systems.
How it works

From raw hardware to peak performance

Achieve sustained performance without human intervention. Boulder Opal's intelligent autonomy delivers PhD-level expertise for hardware calibration and maintenance, with fully automated error handling.

Isometric illustration of a dark rectangular chip or circuit board with a 6x6 grid of white circles and five purple gear icons positioned on some circles.
01

Automate

STEP 01

Automate

    Use autonomous agents to calibrate and maintain quantum computers without human intervention.
Isometric digital microchip or processor with white dots in the center and small purple houses spread across it, set against a dark background with concentric circular grid lines.
02

Stabilize

STEP 02

Stabilize

    Prevent decoherence and error to deliver truly useful performance.
Dark purple 3D hexagonal prism with downward and upward white arrow icons appearing to hover above two circular ripple effects on the prism’s top surface, suggesting directional flow or data movement.
03

Virtualize

STEP 03

Virtualize

    Combine a specific QPU, GPU, and controller in an abstracted module that any workload can reuse.
Digital network visualization with connected purple hexagonal blocks, each featuring a white circular emblem resembling a flower or gear, on a dark grid background.
04

Deploy

STEP 04

Deploy

    Integrate directly into data centers and HPC facilities to deliver maximum quantum benefit.
Performance at Scale

Built for quantum system operators

Maximize team effectiveness and operational efficiency.

Achieve consistent operation
Execute complex control tasks consistently and reliably, bringing greater confidence and repeatability to QPU operation.
Deliver peak performance
Optimize gate parameters with finely tuned closed-loop optimization to consistently achieve high device performance.
Improve resource utilization
Free up hardware specialists and PhD experts from routine control tasks to focus on higher-impact work.
Scale quantum deployment
Achieve consistent performance and efficiency gains across more devices and larger, higher-qubit systems with ease.
An engineer in a face mask and blue gloves reaches up to adjust the gold-plated stages of a quantum computer's dilution refrigerator in a laboratory.
DEPLOYMENT AND Support

Purpose-built for your quantum architecture

Solutions that work for your unique quantum system.
QPU vendors
Anyon, Equal1, QuantWare, and Rigetti.
Controllers
Qblox, Quantum Machines, QubiC (coming soon). Support for custom and additional control vendors is available upon request.
Supported modalities
Currently supported: superconducting circuits and semiconductor spin qubits
Custom support: trapped ion and neutral atom devices upon request.
Who it's for

Accelerating quantum deployment

From data centers to research computing facilities, Boulder Opal makes it easy to deploy quantum computers with physics-informed AI.

For enterprise-grade performance

Data center providers

Simplify quantum system integration and QPU bring-up

Maximize system uptime and performance

Reduce operational overhead and reliance on on-site physics experts

For maximum hardware availability

Quantum innovation centers

Maximize device uptime with fast, repeatable calibration routines

Accelerate research output with sustained peak performance

Free up PhD experts from manual calibration to focus on high-value R&D

For large-scale deployment

Quantum Utility Block (QUB)

Scale from individual QPUs to fully integrated quantum computing systems. QUB is a pre-validated, on-premises reference architecture jointly engineered by QuantWare, Qblox, and Q-CTRL.

QUB combines interoperable hardware with intelligent software and planned NVIDIA NVQLink integration to deliver a modular, HPC-ready system that simplifies procurement, integration, and operation.

What teams are saying about Boulder Opal

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

Equal1 has already proven that quantum hardware can be compact, rack-mounted, and data-center ready. Our partnership with Q-CTRL further accelerates our mission by providing a fully autonomous software stack. With Boulder Opal Scale Up integrated into our Bell-series systems, our customers gain a self-optimizing quantum accelerator that fits seamlessly into existing IT infrastructure.

Jason Lynch
CEO of Equal1

Anyon’s modular quantum supercomputers, tightly coupled to NVIDIA GPUs via NVQLink, have been specifically architected for data center deployments, but the operational demands of quantum have been a continuous pain point for our customers. The partnership with Q-CTRL means our users can take full advantage of our hardware from day one and accelerate their quantum projects without having to worry about low-level quantum calibration processes.

Dr. Roger Luo
Co-Founder and CEO of Anyon Technologies

Frequently asked questions

Boulder Opal is primarily deployed as a SaaS solution that uses a local Python client to connect with hardware, and call routines and infrastructure from the cloud. However, more local-heavy deployment options will be coming soon to minimize network latencies.

No, once you have a license that is connected to hardware, you can run routines against that hardware as often as you like. Note, some licenses offer site license options for unlimited systems, while others are only for one system.

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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Automate your
quantum operations
Code snippet running a transmon anharmonicity experiment with a spectrum plot showing frequency versus amplitude.