Solving the Nonlinear Vlasov Equation on a Quantum Computer

The practical applicability of a recent Carleman-linearization-based quantum algorithm for solving ordinary differential equations (ODEs) with quadratic nonlinearities is investigated for the nonlinear electrostatic Vlasov equation with Krook-type collision operators. The equation is discretized on a (1+1)-dimensional phase-space grid and mapped onto the input of the quantum algorithm. Upper bounds for the query and gate complexities are derived in the limit of large grid sizes and found to be polynomially larger than the time complexity of the corresponding classical algorithms, primarily due to the dimension, sparsity, and norm of the Carleman-linearized evolution matrix. The convergence criteria are shown to impose severe restrictions on physically relevant plasma applications, requiring dissipation levels far exceeding those provided by the Krook operator.

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Publication Details

Journal
Quantum
Published
2026-09-10
DOI
https://doi.org/10.22331/q-2026-09-10-2206
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Solving the Nonlinear Vlasov Equation on a Quantum Computer

T. Goffrey, Tamas Vaszary, Brian Appelbe, Animesh Datta
Quantum
Quantum Computing Algorithms and Architecture
article

Solving the Nonlinear Vlasov Equation on a Quantum Computer

T. Goffrey, Tamas Vaszary, Brian Appelbe, Animesh Datta
article en

Abstract

The practical applicability of a recent Carleman-linearization-based quantum algorithm for solving ordinary differential equations (ODEs) with quadratic nonlinearities is investigated for the nonlinear electrostatic Vlasov equation with Krook-type collision operators. The equation is discretized on a (1+1)-dimensional phase-space grid and mapped onto the input of the quantum algorithm. Upper bounds for the query and gate complexities are derived in the limit of large grid sizes and found to be polynomially larger than the time complexity of the corresponding classical algorithms, primarily due to the dimension, sparsity, and norm of the Carleman-linearized evolution matrix. The convergence criteria are shown to impose severe restrictions on physically relevant plasma applications, requiring dissipation levels far exceeding those provided by the Krook operator.

QuantumVol. 10
University of Warwick (GB), University of Oxford (GB), Imperial College London (GB)
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
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