AQSolotl and QuantrolOx Partner to Automate Quantum System Calibration

Insider BriefPress release – AQSolotl and QuantrolOx today announced a strategic partnership to integrate quantum control hardware and automated machine learning software, in a move aimed at accelerating the shift from experimental quantum systems to scalable, production-ready infrastructure. The collaboration will combine AQSolotl’s Chronos-Q control system with QuantrolOx’s Quantum EDGE platform, creating a unified stack designed to reduce manual calibration and improve system stability. The companies said the integration is intended to significantly shorten tuning cycles and enable more consistent qubit performance. These are key requirements as quantum computing moves towards real-world deployment. The partnership is focused on addressing one of the sector’s most persistent challenges: the reliance on manual, time-intensive system tuning. By deploying AQSolotl’s hardware on the QuantrolOx Quantum Testbed and integrating automated control workflows, the joint solution aims to deliver a more efficient operating environment for quantum engineers and researchers. The platform is also expected to support emerging workloads such as quantum AI training, where repeatability and system fidelity are critical. As quantum processors scale beyond early-stage prototypes, increasing qubit counts and tighter performance thresholds are making manual calibration impractical. The industry is shifting towards automation and integrated control layers to improve reliability, reduce downtime, and enable continuous operation. This transition is widely seen as a prerequisite for moving quantum computing from research environments into commercial use cases. Under the terms of the partnership, the collaboration will be executed in two phases: Immediate Term: Longer Term: “Our focus is on making quantum systems practical to operate at scale. By combining high speed control hardware with Quantrolox’s automated calibration, we can reduce the complexity of running these systems and help teams spend more time on applications. This partnership also provides more alternatives for our global customers”Vishal Chatrath, CEO and Co-Founder of QuantrolOx, added: “Automation is becoming essential as quantum systems grow in complexity. This partnership brings machine learning-driven control directly into AQSolotl’s hardware layer, enabling more stable and repeatable performance with significantly less manual intervention. This partnership also provides more opportunities for our current customers and will also expand our customer base”TopicsShare Get the latest research, company news, and market intelligence every week. MENTIONED IN THE ARTICLEAQSolotl specializes in quantum computing hardware and integrated solutions, focusing on making advanced quantum technology accessible and practical for industry. It develops modular quantum control platforms and deployable quantum AI solutions to address complex computational problems in sectors such as finance, pharmaceuticals, energy, and logistics. The company emphasizes adaptability, cost-effectiveness, and seamless integration with classical computing, working with partners and research institutions to deliver real-world impact.QuantrolOx develops automated machine learning based control software for quantum technologies to tune, stabilize, and optimize qubits. QuantrolOx’s software is technology agnostic and applicable to all types of quantum technologies, and their goal is to maximize quantum computer uptime and make their hardware more accessible.More in Research 2026 © Resonance Alliance Inc.

All Rights ReservedDesigned by Resonance[ivory-search id=”2367594″ title=”Custom Search Form”]One of our team will be in touch to learn more about your requirements, and provide pricing and access options.Subscribe to our industry leading leading newsletter for the latest in quantum news and insights. Necessary cookies are always on to ensure the website works. Optional cookies help us understand how the site is used. Privacy Policy