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Quantum Programs Management Platform

Stack: Not disclosed

Posted on September 3, 2025

Timeline
2022 - Present

The Problem
It turns out developing cutting edge quantum technologies requires a lot of equipment. Cryostats to keep quantum chips cold, compressor systems to circulate gas, lab instruments to deliver precise signals, etc. This equipment is expensive, takes up a lot of space, and requires specialized expertise to operate. As a result, it is impractical to bring external stakeholders into the lab to try out our technologies. The challenge is: how can we provide secure, reliable access to our quantum technologies without requiring customers to manage hardware themselves?

Mission
Create a software system that delivers quantum computing as a service. This gives customers on-demand access to our technology without needing to install or maintain the complex software and hardware setup.

Front End & API
The UI and API provide intuitive access to the service allowing users to submit quantum programs/tasks, monitor and retrieve results, and review submission history. This ensures both software engineers and users can interact with the system, whether it be through the UI or programmatic workflows.

Back End
The backend is built from modular services that coordinate task execution and resource management. A queueing system orchestrates incoming tasks, while key-value stores handle reservation and allocation of physical resources. Data persistence relies on two types of storage: structured storage and object storage. Together these components ensure efficient task scheduling, reliable data handling, and smooth integration with varying hardware setups.

Project Results
The software team developed a flexible microservice architecture that enables end users to seamlessly interact with our quantum technologies. Through well-defined APIs users can submit quantum programs or parametrized tasks that are automatically routed to the appropriate quantum back end. This design streamlines job management, supports monitoring, is scalable, and allows straightforward integration with emerging quantum development workflows.

Tech
Not disclosed.


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