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This research introduces a novel quantum algorithm using the Kannai transform to efficiently simulate dissipative diffusion dynamics, offering improved query complexity over standard Hamiltonian simulation methods for specific elliptic operator structures. By leveraging Gaussian-weighted superpositions of unitary propagators, the approach provides practical advantages for solving heat equations and acting as a subroutine for viscous Hamilton-Jacobi equations in long-time regimes.
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Transmutation based Quantum Simulation for Non-unitary Dynamics

arXiv2 min read

arXiv:2601.03616v3 Announce Type: replace Abstract: We present a quantum algorithm for simulating dissipative diffusion dynamics generated by positive semidefinite operators of the form $A=L^\dagger L$, a structure that arises naturally in standard discretizations of elliptic operators. Our main tool is the Kannai transform, which represents the diffusion semigroup $e^{-AT}$, where $T$ is the final simulation time, as a Gaussian-weighted superposition of unitary wave propagators. For target accuracy $\varepsilon$, this representation leads to a linear-combination-of-unitaries implementation with a Gaussian tail and yields query complexity $\widetilde{O}(\sqrt{\|A\|\,T\,\log(1/\varepsilon)})$, up to the standard dependence on state-preparation and output-norm factors, improving the scaling in $\|A\|$, $T$, and $\varepsilon$ compared with generic Hamiltonian-simulation-based methods. We instantiate the method for the heat equation and biharmonic diffusion under non-periodic physical boundary conditions, and further use it as a subroutine for constant-coefficient linear parabolic surrogates arising in entropy-penalization schemes for the viscous Hamilton--Jacobi equations. In the long-time regime, under a spectral-gap assumption, the same framework gives a structured quantum linear solver by exploiting convergence to the steady state. For normalized positive definite systems $\sigma(A)\subset[1,\kappa]$, the solver outputs an $\varepsilon$-approximation to the state proportional to $\mathbf{x}=A^{-1}\mathbf{b}$ with query complexity $\widetilde{O}\left(\frac{\|\mathbf{b}\|}{\|\mathbf{x}\|}\sqrt{\kappa}\log^2\frac{\|\mathbf{b}\|}{\varepsilon\|\mathbf{x}\|}\right)$.

Abstract:We present a quantum algorithm for simulating dissipative diffusion dynamics generated by positive semidefinite operators of the form $A=L^\dagger L$, a structure that arises naturally in standard discretizations of elliptic operators. Our main tool is the Kannai transform, which represents the diffusion semigroup $e^{-AT}$, where $T$ is the final simulation time, as a Gaussian-weighted superposition of unitary wave propagators. For target accuracy $\varepsilon$, this representation leads to a linear-combination-of-unitaries implementation with a Gaussian tail and yields query complexity $\widetilde{O}(\sqrt{\|A\|\,T\,\log(1/\varepsilon)})$, up to the standard dependence on state-preparation and output-norm factors, improving the scaling in $\|A\|$, $T$, and $\varepsilon$ compared with generic Hamiltonian-simulation-based methods. We instantiate the method for the heat equation and biharmonic diffusion under non-periodic physical boundary conditions, and further use it as a subroutine for constant-coefficient linear parabolic surrogates arising in entropy-penalization schemes for the viscous Hamilton--Jacobi equations. In the long-time regime, under a spectral-gap assumption, the same framework gives a structured quantum linear solver by exploiting convergence to the steady state. For normalized positive definite systems $\sigma(A)\subset[1,\kappa]$, the solver outputs an $\varepsilon$-approximation to the state proportional to $\mathbf{x}=A^{-1}\mathbf{b}$ with query complexity $\widetilde{O}\left(\frac{\|\mathbf{b}\|}{\|\mathbf{x}\|}\sqrt{\kappa}\log^2\frac{\|\mathbf{b}\|}{\varepsilon\|\mathbf{x}\|}\right)$.

arXiv:2601.03616 [quant-ph]

(or arXiv:2601.03616v3 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2601.03616 Focus to learn more arXiv-issued DOI via DataCite

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