Simulating Fluid Mechanics using Quantum Computing on Amazon Braket with Haiqu and Quanscient

This article discusses a collaborative effort by Haiqu and Quanscient to simulate fluid mechanics using quantum computing on Amazon Braket, focusing on computational fluid dynamics (CFD) challenges in aerospace and automotive industries.

• Used Quantum Lattice Boltzmann Method (QLBM) to map classical partial differential equations to quantum computation
• Executed three steps of QLBM time evolution on a 64×64 spatial grid using 16 qubits on IonQ Aria 1 quantum device
• Demonstrated potential for simulating airflow around a NACA0012 airfoil using 23 qubits on a noiseless simulator
• Utilized Haiqu's middleware for error mitigation and circuit optimization
• Showed promise for future quantum computing applications in engineering simulations

The research highlights the potential of quantum computing to address complex fluid dynamics simulations, with collaborative efforts between algorithm development, quantum middleware, and cloud infrastructure playing a crucial role.