Landsberg am Lech, Germany – 2026-09-25 – data cybernetics ssc GmbH, the company behind the quantum state preparation platform Q-Alchemy, has run a full chain of molecular quantum-state experiments on real IBM quantum hardware. The team started from classically computed molecular wavefunctions, turned them into compact preparation circuits, ran them on a physical quantum processor, and reconstructed the resulting states from measurements. They did this for twelve molecular systems, using between 4 and 72 qubits. Loading data into a quantum computer is one of the field’s most persistent bottlenecks. A molecular description that is manageable on paper can need a very long sequence of operations to prepare on hardware. Once the state is prepared, it cannot simply be read back. Measurements return only partial information, so the preparation has to be repeated thousands of times. data cybernetics took on the whole problem at once: making the state, running it on hardware, and rebuilding a result that can be checked against the original. Key results The full pipeline ran on real hardware at every scale attempted. All twelve systems completed the journey on an IBM device with 120 qubits. The campaign took about six and a half hours, and every submitted job returned data. Several reconstructions closely matched their reference states. Fidelity is a similarity score from 0 to 1, where 1 is a perfect match. The results were hydrogen 0.986, lithium hydride 0.964, beryllium hydride 0.949, molecular oxygen 0.929, and nitrogen 0.895. Oxygen and nitrogen ran as 20-qubit circuits on physical superconducting qubits. Fast classical circuit generation at scale. For the largest system, dichromium (Cr₂, 72 qubits), the reference state had 54,167 non-zero entries. Q-Alchemy’s QTucker method generated its preparation circuit in about 53 seconds on a conventional computer. Before hardware noise, the circuit reached a calculated fidelity of about 0.88. Open reporting of limits. The 72-qubit dichromium run executed completely, including 14,351 measured properties, but the final reconstruction failed. The team traced part of this to a reconstruction model that was too compact to describe the state. This gives a concrete target for the next round of work The technologyy The experiment is built on QTucker, data cybernetics’ method for finding structure in quantum states. QTucker uses this structure to build compact preparation circuits and low-rank reconstruction models. The method is described in a research paper and a peer-reviewed book chapter. At no point does the pipeline build a full dense state vector. For 72 qubits, that would mean roughly 4.7 × 10²¹ complex amplitudes. Instead, it works with sparse and low-rank representations throughout. Because the hardware measurements are stored, they can be reused. The team can try better reconstruction methods in software without repeating the expensive hardware runs. “Having a description of a molecule on your laptop does not mean you can simply upload it into a quantum computer,” said Carsten Blank, CEO, data cybernetics. “With this campaign, we have made the whole chain run on real hardware: from a molecular description, to a state prepared on a quantum processor, to a reconstructed result we can evaluate. Several molecules came back as close matches, and the hard cases show us exactly where to improve. We now have a complete testbed for making preparation shorter and reconstruction smarter.” Context and next steps data cybernetics presents the results as an engineering milestone, not a claim of quantum advantage in chemistry. The fidelities compare reconstructed states with approximate reference models. Showing usefulness for chemistry will require checking task-specific properties, such as energies. Next, the team plans to repeat the campaign to measure consistency and to compare the hardware results with controlled simulations. The results also suggest that shorter circuits give better outcomes, so the team will pursue shorter circuits and more flexible reconstruction models. The work was funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under grant 13N17157 (QROM), and the hardware experiments used quantum credits from the IBM Quantum Startup Program. Read more: Blog post: From Molecular Data to Real Quantum Hardware and Back Technical account with full results for all twelve molecules: q-alchemy.com/solutions/quantum-chemistry

Five of the six consortia selected to apply for funding under Germany’s Quantum Computing Competition are led by QBN members: planqc, QUDORA Technologies, neQxt together with Fraunhofer IIS, IQM, and Peak Quantum. The consortia can apply for a share of €640 million for hardware development and pilot production lines. The Federal Ministry of Research, Technology and Space aims to make at least two quantum computers with error correction available to industrial users by 2030. The selection marks the next stage in the application process. The competition covers neutral atoms, trapped ions and superconducting qubits, with support extending to processors, control systems and error correction. Investment in pilot production is intended to help teams build larger systems under consistent manufacturing conditions. Germany hopes to close the gap with the US and China. Potential industrial applications include drug development, materials science, chemistry and energy systems, as well as traffic management and supply chain optimisation. Reducing the errors that still limit today’s hardware will be essential to making these applications viable. The emphasis on pilot production also connects with QBN’s earlier policy work. In its January statement on the Hightech Agenda Deutschland, QBN called for pilot facilities to be closely linked to industrial production and customer needs. Its July response to the Quantum Technologies Roadmap welcomed the focus on technology transfer and pilot lines, while calling for faster funding procedures, stronger supply chains and public procurement to help quantum companies reach customers. Congratulations to our members and their consortium partners on their selection.

Fundamental research will define quantum computing for years to come; engineering builds on that foundation. QuantrolOx’s control software bridges both — now embedded alongside UC Berkeley, one of the world’s leading quantum research communities. QuantrolOx, a quantum R&D infrastructure software company, has opened its Berkeley office, deepening its presence in the US at a moment when capital and hardware progress in quantum computing are both accelerating sharply. The office was inaugurated at an event co-hosted by QuantrolOx, UC Berkeley Chancellor Rich Lyons and Professor Irfan Siddiqi, director of the Quantum Nanoelectronics Laboratory.  The opening builds on a five-year memorandum of understanding (MOU) QuantrolOx signed earlier this year with UC Berkeley’s Roger Herst Quantum Nexus, home to one of the most active superconducting-qubit research environments in the world. The collaboration spans research through commercialisation, with a focus on the end-to-end industrialisation of quantum processing units (QPUs). Manual quantum control remains one of the largest bottlenecks to scaling QPUs beyond the lab; QuantrolOx’s control software is built to close that gap at industrial scale. By deepening its presence within the Berkeley quantum ecosystem, one of the country’s leading centres for quantum research infrastructure, QuantrolOx positions itself alongside the researchers and institutions advancing the path to useful, scalable quantum computers. The collaboration builds on an existing research relationship with Siddiqi’s lab. “I am thrilled to welcome QuantrolOx into our advanced quantum ecosystem. 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.” — Rich Lyons, Chancellor, UC Berkeley   “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.” — Prof. Irfan Siddiqi, UC Berkeley   “No physicists want to waste time tuning qubits, they want to use them. Even if they loved it, the problem is there aren’t enough physicists in the world to tune all the qubits this industry is about to build. With $12.6 billion pouring into quantum last year alone, that shortage is about to get a lot more expensive to ignore. Berkeley is where more of tomorrow’s quantum hardware is being built than almost anywhere else. That’s exactly where QuantrolOx needs to be standing to close the gap.” — Vishal Chatrath, Co-founder & CEO, QuantrolOx   The Berkeley office serves as QuantrolOx’s base for US market development and research collaboration as the company deepens its presence across North America.   About QuantrolOx QuantrolOx is a pure-software quantum computing company, spun out of the University of Oxford, delivering control software to automate and scale the tuning and operation of quantum processing units. QuantrolOX works with leading quantum hardware developers and research institutions across the UK, EU, Taiwan and India, and is now deepening its presence in the US from Berkeley.   Media Contact media@quantrolox.com Press release: QuantrolOx Opens Berkeley Office, Deepens US Presence Through Five-Year MOU with UC Berkeley