Quanscient and Haiqu Simulate Quantum Fluid in 15 Steps
▼ Summary
– A new quantum algorithm called OSSLBM successfully ran a 15-step nonlinear fluid simulation around a solid obstacle on IBM’s Heron R3 quantum computer.
– This simulation, relevant to designs like aircraft wings, is the most physically complex publicly documented quantum CFD demonstration on real hardware.
– The algorithm reduces the required qubit count and circuit depth, which are major constraints for running complex simulations on current error-prone quantum devices.
– A key advancement was simulating fluid interaction with a solid object, moving beyond simpler linear scenarios toward industrially meaningful applications.
– The work is a research milestone showing feasibility, though practical industrial use of quantum computing for CFD remains years away.
A new quantum computing milestone has been achieved, demonstrating a 15-step simulation of nonlinear fluid flow around a solid object on real quantum hardware. This represents the most complex publicly documented quantum computational fluid dynamics simulation to date, advancing the potential for future industrial applications in fields like aerospace and automotive design. The work, a collaboration between Finnish simulation firm Quanscient and quantum middleware developer Haiqu, utilized a novel algorithm to overcome key hardware limitations.
The simulation ran on an IBM Heron R3 quantum computer, tackling the fundamental problem of fluid flowing around a shape, a core challenge in aerodynamics. The partners developed a new quantum algorithm called the One-Step Simplified Lattice Boltzmann Method (OSSLBM). This framework is built upon the established quantum Lattice Boltzmann Method but is engineered to drastically reduce computational overhead per simulation step.
Classical computational fluid dynamics is notoriously resource-intensive, with demands escalating non-linearly for detailed models. Quantum computing offers a theoretical path beyond these classical limits, but practical progress has been stymied by hardware constraints. The sheer number of qubits and the required circuit depth, or length of the quantum computation, have made complex simulations prone to being overwhelmed by errors before completion.
The OSSLBM algorithm directly confronts these barriers, enabling a longer sequence of steps to remain within the reliable execution bounds of current quantum processors. Haiqu’s quantum middleware was instrumental, reducing circuit depth, creating new algorithmic subroutines, and applying targeted error-mitigation techniques. This software layer made the entire workflow feasible on today’s imperfect hardware.
A critical aspect of this demonstration is the inclusion of a solid obstacle. Earlier quantum CFD experiments primarily focused on simpler, linear fluid behavior without boundary interactions. Simulating flow around an object is an essential prerequisite for any industrially meaningful application, from aircraft wing optimization to vehicle design. Professor Oleksandr Kyriienko, Chair in Quantum Technologies at the University of Sheffield, called the work an interesting and timely contribution, noting that more research in this vein is necessary to reach practical quantum solutions.
Quanscient and Haiqu have collaborated on quantum CFD since at least 2024, when they were finalists in the Airbus and BMW Quantum Mobility Challenge. Their previous research includes demonstrations on IonQ hardware via the Amazon Braket platform. While industrial applications remain years in the future, this result is a significant research milestone. It establishes the technical feasibility of executing simulations at this level of physical complexity on the quantum hardware available today.
(Source: The Next Web)