{"id":965799,"date":"2026-05-21T08:07:06","date_gmt":"2026-05-21T12:07:06","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/pasqal-demonstrates-logical-qubits-outperform-physical-qubits-solving-differential-equations-an-industry-first-for-neutral-atom-quantum-computing\/"},"modified":"2026-05-21T08:07:06","modified_gmt":"2026-05-21T12:07:06","slug":"pasqal-demonstrates-logical-qubits-outperform-physical-qubits-solving-differential-equations-an-industry-first-for-neutral-atom-quantum-computing","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/pasqal-demonstrates-logical-qubits-outperform-physical-qubits-solving-differential-equations-an-industry-first-for-neutral-atom-quantum-computing\/","title":{"rendered":"Pasqal Demonstrates Logical Qubits Outperform Physical Qubits Solving Differential Equations \u2014 An Industry First for Neutral-Atom Quantum Computing"},"content":{"rendered":"
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PALAISEAU, France, May 21, 2026 (GLOBE NEWSWIRE) — Pasqal Holding SAS (\u201cPasqal\u201d) today announced new research showing a more advanced approach to quantum computing that can deliver significantly better results on practical problems. For the first time, the company demonstrated that \u201clogical qubits\u201d\u2014a method designed to reduce errors\u2014outperform standard quantum computing techniques when solving differential equations on real hardware. Pasqal recently announced plans to go public through a business combination with Bleichroeder Acquisition Corp. II.<\/p>\n

In the study, published on arXiv, Pasqal used its quantum processor to solve differential equations, a class of problems that underpin many real-world applications, from energy systems and materials science to financial modeling. These equations are notoriously difficult to solve accurately and are often used as benchmarks for advanced computing systems.<\/p>\n

The results showed that Pasqal\u2019s logical-qubit approach produced more accurate answers than conventional methods, improving performance by more than 50% on average, and by up to ten times on certain challenging problems. Notably, this improvement was achieved even though the logical-qubit method is more complex, underscoring its practical value.<\/p>\n

\u201cWhat this work demonstrates is that logical qubits are not only theoretically preferable \u2014 they are already performing better on a real computational task,\u201d said Lo\u00efc Henriet, Chief Technology Officer at Pasqal. \u201cMore importantly, by running a complete application rather than isolated subroutines, we were able to identify precisely which error sources matter most for this class of problem. That understanding is what will guide the next phase of hardware development.\u201d<\/p>\n

\n Addressing a Foundational Challenge in Quantum Computing\u00a0<\/strong>\n <\/p>\n

Quantum computers have long promised to solve problems beyond the reach of classical systems, but their progress has been limited by errors that build up during calculations.<\/p>\n

Pasqal\u2019s research provides clear, real-world evidence that logical qubits can overcome this challenge. By organizing multiple physical qubits into more stable units, logical qubits are better able to detect and filter out errors before they affect results.<\/p>\n

Until now, the performance\u00a0benefit\u00a0of logical encoding had been\u00a0validated\u00a0primarily on elementary operations \u2014 entangled state preparation, algorithm subroutines \u2014 rather than on complete, application-level computations. This work closes that gap.\u00a0<\/p>\n

Running on\u00a0Pasqal’s\u00a0neutral-atom processor, which has achieved a\u00a0gate fidelity of\u00a099.4%,\u00a0the research team implemented a quantum kernel algorithm to solve differential equations at both the physical and logical qubit levels, then compared results systematically across 1,000 equations.\u00a0Logical\u00a0qubits\u00a0outperformed their physical counterparts by more than\u00a050% on average, and by a factor of\u00a010\u00a0on a representative nonlinear problem.\u00a0The logical implementation used a more complex circuit \u2014 and still produced more\u00a0accurate\u00a0results.\u00a0<\/p>\n

\n From Analog to Fault-Tolerant: A Deliberate Research Progression<\/strong>\n <\/p>\n

Pasqal\u00a0has\u00a0established\u00a0a track record\u00a0in analog quantum computing, with applications in optimization, simulation, and machine learning across multiple industries. The extension into logical qubit computation reflects a deliberate research progression: the team pursued\u00a0this direction once the underlying hardware performance \u2014 now at 99.4% combined gate fidelity \u2014 reached a level where application-grade results became achievable.\u00a0<\/p>\n

The type of problems tackled in this research,\u00a0differential equations,<\/u>\u00a0govern the behavior of complex systems across a wide range of industries. In aerospace, they model structural loads and fluid dynamics;in energy, heat\u00a0transfer\u00a0and grid stability;in pharmaceutical development, reaction\u00a0kinetics\u00a0and molecular behavior;in finance,\u00a0risk\u00a0and volatility modeling. The ability to solve these problems with greater accuracy using quantum processors \u2014\u00a0operating\u00a0as accelerators within hybrid quantum-classical workflows \u2014\u00a0represents\u00a0a concrete step toward quantum utility at scale.\u00a0<\/p>\n

Pasqal’s\u00a0research program extends this work to\u00a0additional\u00a0application domains including\u00a0materials,\u00a0finance\u00a0and energy. Near-term priorities include improving gate performance, increasing the number of logical qubits, and advancing error detection and correction capabilities.\u00a0Improving how these problems are solved could unlock new efficiencies, better predictions, and faster innovation.\u00a0<\/p>\n

“What surprised us is that our logical qubits turned out to be naturally resistant to exactly the types of noise that make solving differential equations harder. We got better results than we had initially anticipated. This is why running complete applications matters;you discover things that testing individual building blocks alone never reveals. This result is a direct product of the PROQCIMA programme, which has created exactly the right conditions for this kind of foundational, application-driven research to happen at scale in France”, Henriet said.\u00a0<\/p>\n

\n Notes on Research<\/strong>\u00a0<\/p>\n