Why This Quantum Chemistry Study Doesn’t Need Perfect Hardware

Why This Quantum Chemistry Study Doesn’t Need Perfect Hardware

Qedma Quantum Computing, a privately held Israeli company, announced in a press release on September 9 that it has published a joint study with HQC2, a quantum chemistry research consortium spanning the University of Copenhagen, the Technical University of Denmark, and the University of Southern Denmark. The study, posted as a preprint on arXiv and being presented this week at the Q2B Copenhagen conference, reports that Qedma’s QESEM error-mitigation software improved the accuracy of a quantum chemistry calculation by a factor of 30 to 50 compared to running the same calculation without it, on an IBM quantum processor.

What Was Actually Tested

The researchers modeled the potential energy surface of a water molecule, essentially calculating how a water molecule’s energy changes as its atoms shift position, using IBM’s Aachen quantum processor paired with Qedma’s QESEM software. Water is a small, well-understood molecule, chosen here as a controlled test case rather than a demonstration of an industrially useful chemistry problem, precisely because its actual energy values are already known from classical methods, giving researchers a reliable benchmark to check the quantum results against. The study reports a 30 to 50 times improvement in accuracy compared to running the identical calculation on the same hardware without error mitigation applied, with accuracy gains increasing as the researchers demanded higher levels of precision, suggesting the benefit of error mitigation becomes more pronounced, not less, as the bar for useful results rises.

Why Quantum Computers Need Error Mitigation Right Now

Today’s quantum computers are frequently described as noisy, meaning the physical qubits that store and process quantum information are imperfect and introduce errors into calculations as they run. The industry’s long-term answer to this is fault-tolerant quantum computing, hardware advanced enough to detect and correct its own errors automatically, but that technology remains years away from widespread availability, and current estimates for when it might arrive vary considerably across the industry. Error mitigation software like QESEM takes a different approach in the meantime: rather than preventing errors at the hardware level, it estimates how much noise likely affected a given calculation and adjusts the results to compensate, extracting more reliable answers from today’s imperfect machines rather than waiting for better ones. Qedma describes QESEM as hardware-agnostic, meaning it’s designed to work across different companies’ quantum processors rather than being tied to one manufacturer’s hardware, a positioning choice that lets the company sell into any quantum computing ecosystem rather than being dependent on a single hardware partner’s success.

Why Chemistry Is a Meaningful Test Case

Quantum chemistry, calculating the energy and behavior of molecules, is widely considered one of the most promising practical applications for quantum computers, because classical computers struggle to simulate molecules exactly as they get larger: the computational cost grows exponentially with the number of electrons involved, quickly exceeding what even powerful supercomputers can handle for anything beyond fairly simple molecules. Quantum computers are theoretically well-suited to this kind of problem because they can represent certain quantum mechanical interactions more naturally than classical computers can. Accuracy is unusually important here specifically because relatively small calculation errors can meaningfully change a predicted molecular property or energy value, which is why a 30 to 50 times accuracy improvement, if it holds up as the field moves to more complex molecules, would matter more here than in many other potential quantum computing applications.

The Academic Backing, and Its Limits

The study was conducted by named researchers, including Professor Stephan P. A. Sauer and postdoctoral researcher Renato Olarte Hernandez at the University of Copenhagen, and Professor Sonia Coriani and postdoctoral researcher Emanuele Rossi at the Technical University of Denmark, as part of Q-CHEMION, a project under the Eureka open call for applied quantum technologies. HQC2 itself is funded by the Novo Nordisk Foundation. That’s a real, named academic collaboration, more substantive backing than an unverified vendor claim. It’s worth being precise about what that backing does and doesn’t establish, though: Qedma is a co-author and direct commercial beneficiary of positive results for its own software, so this is a collaborative company-and-academia study, not fully independent third-party verification. The findings are also currently posted as an arXiv preprint, meaning they’ve been made public for review but have not yet completed formal peer review at a scientific journal.

Qedma’s Broader Track Record

The release also references a separate, earlier claim that Qedma achieved “quantum advantage” together with IBM, modeling quantum materials dynamics that multiple classical simulation methods reportedly could not reliably reproduce. That is Qedma’s own characterization of a separate result, which this article did not independently verify. Qedma was founded by CEO Dr. Asif Sinay along with Prof. Dorit Aharonov, a quantum computing theorist known for early foundational work on quantum fault tolerance, and Prof. Netanel Lindner, a condensed matter physicist, giving the company a research pedigree behind its commercial software product.

Sources

Qedma and HQC2 Demonstrate Unprecedented Accuracy in Quantum Chemistry on Quantum Computers, PRNewswire, September 9, 2026.

Study preprint: arXiv:2609.07284

Editorial Disclosure

This article is based on a press release issued by Qedma Quantum Computing on September 9, 2026, distributed via PRNewswire. Qedma is a privately held company; no securities are discussed in this article and no ticker or exchange applies. Next Gen Tech Stocks was not compensated for this coverage. The referenced study is co-authored by Qedma, whose software is the subject of the study’s central claim, alongside named academic researchers; it has not completed formal peer review and is currently posted as a preprint. A separate claim regarding a prior quantum advantage result with IBM was not independently verified for this article. This article is for informational and educational purposes only. See our full Disclaimer.



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