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Quantum software firm QuantrolOx joins UC Berkeley’s quantum hub

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September 22, 2026 by Ivy Delaney

Vishal Chatrath, Co-founder & CEO of QuantrolOx, inaugurated a new Berkeley office alongside UC Berkeley Chancellor Rich Lyons and Professor Irfan Siddiqi, director of the Quantum Nanoelectronics Laboratory, signaling a deepened US presence for the quantum software firm. The opening stems from a five-year memorandum of understanding signed earlier this year between QuantrolOx and UC Berkeley’s Roger Herst Quantum Nexus, explicitly focused on moving quantum processing units. According to Chatrath, QuantrolOx’s software aims to address manual quantum control, identified as a key bottleneck to scaling quantum computers beyond the laboratory.

QuantrolOx and UC Berkeley Formalize Five-Year Quantum R&D Collaboration

QuantrolOx is positioned to address a critical scaling challenge in quantum computing; manual quantum control is identified as a major bottleneck preventing QPUs from moving beyond laboratory settings. The company’s software aims to resolve this issue at an industrial scale, a necessity given the rapidly increasing demand for functional qubits and the limited number of physicists available to tune them.

Vishal Chatrath, Co-founder & CEO of QuantrolOx, noted that “there aren’t enough physicists in the world to tune all the qubits this industry is about to build,” highlighting the urgency of automated solutions. This partnership explicitly focuses on bridging the gap between quantum research and commercialisation by using Berkeley’s active superconducting-qubit environment and QuantrolOx’s expertise in automation.

With $12.6 billion invested into quantum technology last year, the need for efficient scaling solutions is becoming increasingly pressing, and Berkeley’s position as a hub for quantum hardware development makes it a strategic location for QuantrolOx’s US market development. The opening of the Berkeley office signifies more than just a physical expansion for QuantrolOx; it represents a commitment to advancing quantum computing toward a new era of information processing, the company says.

“By formalising this close-knit collaboration, we are primed to harness QuantrolOx’s commercial expertise and automation breakthroughs,” said Irfan Siddiqi of UC Berkeley. This collaboration is expected to accelerate the industrialisation of quantum processing units, moving beyond fundamental research to practical applications and widespread deployment, and the company’s tools will be tested on Berkeley’s qubit platform, according to reports from August 5th.

UC Berkeley excels in the fundamental and translational aspects of quantum information science. By formalising this close-knit collaboration, we are primed to harness QuantrolOx’s commercial expertise and automation breakthroughs to advance quantum computing toward its next era of information processing.

QuantrolOx Control Software Addresses QPU Scaling Bottlenecks

QuantrolOx’s software suite directly addresses a critical impediment to quantum processor development: automated calibration workflows. The company is integrating its QuantumEDGE platform with AQSolotl’s Chronos-Q hardware, a move designed to streamline the often-manual process of tuning qubits for optimal performance.

This integration, reported on June 24th, promises to reduce the time and expertise required to prepare quantum processors for complex calculations, a key step toward industrial scalability. Professor Irfan Siddiqi of UC Berkeley highlighted a core challenge facing the field, stating, “No physicists want to waste time tuning qubits, they want to use them.” This sentiment underscores the necessity for automation, and QuantrolOx’s software aims to alleviate the burden on scarce quantum expertise.

QuantrolOx’s approach uses artificial intelligence and machine learning to automate control systems, a strategy that has attracted both investment and strategic partnerships. to the AQSolotl collaboration, the company is working with QURECA to launch Quantum EDGE Academy, a simulator-first training platform announced August 30th. This initiative aims to broaden access to quantum computing skills and accelerate the development of a skilled workforce.

“I am thrilled to welcome QuantrolOx into our advanced quantum ecosystem,” said UC Berkeley Chancellor Rich Lyons. “This is the latest example of how UC Berkeley fuels the open exchange of ideas between academia, industry, and the government to revolutionise technology and advance society.” RAQS Quantum has also been appointed as exclusive APAC distribution partner for QuantrolOx’s automated quantum control software, expanding the company’s reach into key Asian markets.

With $12.6 billion pouring into quantum last year alone, that shortage is about to get a lot more expensive to ignore.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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