Numerical solution of the nonlinear Dirac equation by a splitting variational quantum algorithm

• URL: http://arxiv.org/abs/2606.08053v1
• Date: Sat, 06 Jun 2026 08:37:37 GMT
• Title: Numerical solution of the nonlinear Dirac equation by a splitting variational quantum algorithm
• Abstract summary: Dirac-sVQA is an operator-splitting variational quantum algorithm for simulating the nonlinear Dirac equation (NLDE)<n>We show that Dirac-sVQA accurately captures both the total density and the componentwise spinor dynamics.
• Score: 5.765938965225819
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this work, we propose an operator-splitting variational quantum algorithm, termed Dirac-sVQA, for simulating the nonlinear Dirac equation (NLDE). The main difficulty arises from the state-dependent nonlinear interaction, its time-discrete update depends explicitly on the intermediate spinor state and, in general, cannot be implemented as a fixed state-independent unitary circuit. To address this difficulty, we decompose the NLDE evolution into a structured linear Dirac substep and a nonlinear variational correction. The linear substep is implemented by a spinor-Fourier Dirac propagator on a joint position-spin register, preserving the spin-momentum coupling and mass-induced spin evolution of the Dirac operator. The nonlinear correction is reformulated as a measurement-based variational update through a small set of overlap, self-channel, and cross-channel observables. We provide the corresponding quantum circuits and derive measurement-aware resource and complexity estimates. Numerical experiments in several nonlinear regimes show that Dirac-sVQA accurately captures both the total density and the componentwise spinor dynamics, agrees well with classical Fourier pseudospectral splitting solutions, and exhibits stable error behavior over time. These results provide numerical evidence for the feasibility of operator-splitting variational quantum simulation for nonlinear relativistic wave equations.

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