PsiQuantum is collaborating with Airbus to advance fault-tolerant quantum computing applications for the aerospace industry. Their joint work focuses on developing and evaluating quantum algorithms for complex problems like fluid mechanics, as detailed in a new research paper. This collaboration aims to leverage quantum computing to improve simulations of aircraft aerodynamics and other critical aerospace systems.
Airbus QuLAB Project: Quantum Algorithms for Fluid Mechanics
Airbus’ QuLAB project is specifically tackling complex fluid mechanics problems using quantum algorithms, aiming to enhance computational fluid dynamics (CFD). Researchers are applying fault-tolerant quantum computing to simulate incompressible fluid flows under conditions relevant to aircraft aerodynamics, validated against established benchmark problems. This work builds on prior theoretical developments, combining methods for preparing computations on future quantum hardware. The partnership intends to address limitations in current simulation capabilities for aerospace applications like aerodynamic drag, impact modeling, and vibration analysis. PsiQuantum’s Construct software suite, launched in 2025, supports the design and optimization of these uniquely-suited quantum algorithms. Ultimately, successful implementation promises faster, larger-scale, and more accurate simulations impacting aircraft production and performance.
“Bounded Quantum Advantage” Enables Nonlinear Fluid Dynamics
A new methodology combines preparation techniques with computation on fault-tolerant quantum computers, enabling simulations of complex, realistic incompressible fluid flows. This approach, detailed in a recent paper, specifically targets computational fluid dynamics (CFD) challenges—a critical area for aerospace engineering. Validated against aircraft aerodynamics benchmarks, the work demonstrates a “bounded quantum advantage” for nonlinear fluid dynamics, suggesting potential gains within specific computational limits. Modeling aerodynamic drag, impact, and vibration analysis—all vital for aerospace—becomes more feasible with quantum computing’s potential for increased speed and accuracy. This development signifies a step toward drastically improving the production and performance of aircraft and aerospace systems through advanced simulation.
As PsiQuantum prepares to build and deploy the world’s first fault-tolerant quantum computers, we are working closely with world-leading companies to ensure they are prepared to take full advantage of this technology.
Alexander Kolks, Chief Business Officer at PsiQuantum
PsiQuantum’s Construct Suite Optimizes Fault-Tolerant Algorithms
At the core of achieving fault tolerance is the implementation of Quantum Error Correction (QEC) codes. These codes, such as the surface code, are essential for detecting and correcting the inherent environmental noise that degrades qubit states. The physical realization of fault tolerance requires encoding logical qubits—the unit of stable information—across many highly entangled physical qubits. The overhead associated with robust QEC is substantial, representing one of the most critical engineering hurdles for scaling quantum computation from lab prototypes to industrial application.
Furthermore, the quantum simulation of fluid dynamics often utilizes specialized algorithms derived from Hamiltonian simulation, such as the Quantum Phase Estimation (QPE) algorithm. Instead of solving the Navier-Stokes equations directly, the quantum system simulates the underlying physics by mapping the fluid’s evolution onto an observable quantum state. This method allows for the calculation of time-dependent correlation functions, which are necessary for precisely determining drag coefficients and predicting flow instabilities in complex geometries.
Beyond traditional CFD, quantum computing holds immense promise for inverse design problems within aerospace engineering. Instead of simulating a known shape, quantum optimization algorithms can be used to determine the optimal airfoil geometry or structural material composition that meets specific performance metrics (e.g., minimal drag or maximum structural integrity). This shift from predictive simulation to generative design represents a paradigm shift in the engineering development lifecycle.
The successful translation of these theoretical advantages into tangible industrial products requires the maturation of quantum middleware and interoperability standards. Bridging the gap between sophisticated algorithms designed on classical supercomputers and the constrained architecture of near-term, noisy quantum devices remains a major focus. Industry consortia are working to create standardized interfaces that allow application developers to focus purely on the physics problem rather than the peculiarities of the underlying quantum hardware architecture.
PsiQuantum released its Construct software suite in September 2025 to address the need for algorithms tailored to fault-tolerant quantum systems. This tool supports the design, development, and optimization of these algorithms, crucial for fully utilizing the capabilities of future quantum computers. Construct’s development reflects a proactive approach to preparing industries for utility-scale quantum computing, anticipating the demands of complex simulations.
