Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 18 min ago
PreprintCC BY 4.0arXiv

Quantum lattice Boltzmann method via density-matrix encoding for fluid simulation with wall boundary conditions

Abstract

The quantum lattice Boltzmann method (QLBM) holds promise for efficient fluid simulations, yet the treatment of realistic boundary conditions, particularly solid wall boundary with arbitrary geometry, remains a critical open challenge. We propose a QLBM algorithm that incorporates wall boundaries as well as inlet/outlet velocity conditions. Building upon the existing QLBM with ensemble transformations, we adopt a density-matrix encoding that offers greater flexibility in circuit design and enables the implementation of non-unitary operations through Kraus operators. For boundary enforcement, we design a quantum implementation of the half-way bounce-back scheme and introduce a component exchange step prior to the streaming step, which naturally enforces the no-slip condition without modifying the transport operation. Inlet and outlet conditions are imposed via controlled SWAP operations combined with ancilla registers prepared in the prescribed velocity states. Our QLBM is quantitatively validated through simulations of two-dimensional flows past a backward-facing step, a cylinder, and an obstacle with complex geometry, demonstrating both accuracy and extensibility of our boundary algorithm.

Related

  1. Benchmark of no-slip boundary conditions for meshless Lattice Boltzmann Method in Stokes flow
    Dawid Strzelczyk, Pavel Eichler, Maciej Matyka
    arXivPreprintCC BY 4.0Full textFluid dynamicsarXiv
  2. Quantum simulation of wave optics in weakly inhomogeneous media using block encoding
    Siavash Davani, Martin Gärttner, Falk Eilenberger
    Physical Review ResearchPeer-reviewedCC BY 4.0Atomic, molecular & optical physicsCrossrefAPS
  3. Direct Numerical Simulation of Thermoacoustically Unstable Flames Via Non-Drifting Acoustic Delay Characteristic Boundary Conditions
    Benjamin L. Cookman, Jack R. C. King, Raphaël C. Assier +1
    arXivPreprintCC BY 4.0Full textNumerical analysis & scientific computingComputational physicsarXiv
  4. Transformer fault diagnosis using an efficient simulation-driven variational quantum classifier with domain-aware feature encoding
    Huy Hoang Le, Ba Tu Phung, Dai Huynh +1
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  5. First-quantized quantum simulation with non-local potentials by matrix-product-state encoding
    Kazuki Tsuoka, Taichi Kosugi, Masari Watanabe +2
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
BibTeX
@misc{su2026quantum,
  title = {{Quantum lattice Boltzmann method via density-matrix encoding for fluid simulation with wall boundary conditions}},
  author = {Hao Su and Boyuan Wang and Yue Yang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.06179},
  eprint = {2609.06179},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.06179},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Quantum lattice Boltzmann method via density-matrix encoding for fluid simulation with wall boundary conditions
AU  - Hao Su
AU  - Boyuan Wang
AU  - Yue Yang
PY  - 2026
DA  - 2026/09/05
PB  - arXiv
DO  - 10.48550/arxiv.2609.06179
UR  - https://arxiv.org/abs/2609.06179
AB  - The quantum lattice Boltzmann method (QLBM) holds promise for efficient fluid simulations, yet the treatment of realistic boundary conditions, particularly solid wall boundary with arbitrary geometry, remains a critical open challenge. We propose a QLBM algorithm that incorporates wall boundaries as well as inlet/outlet velocity conditions. Building upon the existing QLBM with ensemble transformations, we adopt a density-matrix encoding that offers greater flexibility in circuit design and enables the implementation of non-unitary operations through Kraus operators. For boundary enforcement, we design a quantum implementation of the half-way bounce-back scheme and introduce a component exchange step prior to the streaming step, which naturally enforces the no-slip condition without modifying the transport operation. Inlet and outlet conditions are imposed via controlled SWAP operations combined with ancilla registers prepared in the prescribed velocity states. Our QLBM is quantitatively validated through simulations of two-dimensional flows past a backward-facing step, a cylinder, and an obstacle with complex geometry, demonstrating both accuracy and extensibility of our boundary algorithm.
ER  -