Kavli Affiliate: Ke Wang
| First 5 Authors: Ziteng Wang, Jiarun Zhong, Ke Wang, Zitian Zhu, Zehang Bao
| Summary:
Vortex interactions are commonly observed in atmospheric turbulence, plasma
dynamics, and collective behaviors in biological systems. However, accurately
simulating these complex interactions is highly challenging due to the need to
capture fine-scale details over extended timescales, which places computational
burdens on traditional methods. In this study, we introduce a quantum vortex
method, reformulating the Navier–Stokes (NS) equations within a quantum
mechanical framework to enable the simulation of multi-vortex interactions on a
quantum computer. We construct the effective Hamiltonian for the vortex system
and implement a spatiotemporal evolution circuit to simulate its dynamics over
prolonged periods. By leveraging eight qubits on a superconducting quantum
processor with gate fidelities of 99.97% for single-qubit gates and 99.76%
for two-qubit gates, we successfully reproduce natural vortex interactions.
This method bridges classical fluid dynamics and quantum computing, offering a
novel computational platform for studying vortex dynamics. Our results
demonstrate the potential of quantum computing to tackle longstanding
challenges in fluid dynamics and broaden applications across both natural and
engineering systems.
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