The University of California, Berkeley—on behalf of its Department of Physics and the Roger Herst Quantum Nexus—has signed a five-year Memorandum of Understanding (MOU) with quantum automation developer QuantrolOx to advance the industrialization of superconducting quantum computing. Effective July 7, 2026, the non-binding framework combines UC Berkeley’s open, “white-box” superconducting qubit hardware testbeds with QuantrolOx’s machine-learning-driven Quantum EDGE software suite to transition quantum hardware operations from manual laboratory experiments to automated, reproducible workflows.
Led by UC Berkeley Physics Professor Irfan Siddiqi and QuantrolOx CEO Vishal Chatrath, the collaboration will use the Roger Herst Quantum Nexus as a shared innovation space for researchers and industry engineers. The joint initiative targets critical operational bottlenecks across the quantum device lifecycle, focusing on five primary technical and educational domains:
- End-to-End Workflow Automation: Integrating materials research, quantum Process Design Kits (PDKs), Electronic Design Automation (EDA), QPU packaging, quality assurance, and failure analysis into a unified data architecture powered by machine learning and agentic AI.
- Integrated Quantum Control Architecture: Optimizing low-latency instrument interconnects, cryogenic control electronics, crosstalk compensation, and parallelized pulse execution across scaling processors.
- Physics-Aware AI Calibration: Applying autonomous AI systems to accelerate high-precision qubit characterization, tune-up, and real-time operational calibration.
- Workforce Development: Scaling experimental training programs for hardware engineers using QuantrolOx’s Quantum EDGE Academy and VIDYAQAR open-architecture test platforms.
- Scientific Community Convenings: Hosting joint seminars, technical workshops, and reciprocal researcher visits within the Roger Herst Quantum Nexus hub.
By validating commercial calibration, measurement, and control software directly on UC Berkeley’s physical processor architectures, the partnership aims to establish standardized data pipelines and automated runtime environments required to scale superconducting quantum computers toward commercial deployment.
Review the official agreement announcement on the QuantrolOx Press Portal, and examine platform specifications on the QuantrolOx Technology Hub.
August 3, 2026
