


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.

01Automate
Automate
02Stabilize
Stabilize
03Virtualize
Virtualize
04Deploy
Deploy
Maximize team effectiveness and operational efficiency.

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.

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.


