Deploy quantum computers at scale

Intelligent autonomy to maximize uptime and scale to meet customer demand.
User interface of Boulder Opal software showing detailed quantum device Contralto-A 123 measurements, including a graph of anharmonicity spectroscopy and a qubit network diagram with nodes numbered 0 to 10, highlighting node 7 connected to nodes 4, 5, 6, and 9. The screen also displays attributes like Qubit T1 and CZ error with median values and measurement data filters below.
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.

Proven performance

Results you can measure
on your own hardware

< 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.

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.