The Dirac equation as a quantum walk: higher dimensions, observational convergence
Open accessAbstract
The Dirac equation can be modelled as a quantum walk (QW), whose main features are being: discrete in time and space (i.e. a unitary evolution of the wave-function of a particle on a lattice); homogeneous (i.e. translation-invariant and time-independent) and causal (i.e. information propagates at a bounded speed, in a strict sense). This link, which was proposed already by Succi and Benzi, Bialynicki-Birula and Meyer, is shown to hold for Bargmann–Wigner equations and symmetric hyperbolic systems in general. We then analytically prove the convergence of the solution of the QW to the solution of the Cauchy problem for the Dirac equation. We do so by adapting a powerful method from standard numerical analysis, which is of general interest to the field of quantum simulation. At the practical level, this result provides precise error bounds and convergence rates, thereby validating the QW as a quantum simulation scheme. At the theoretical level, it reinforces the status of this QW as a simple, discrete toy model of relativistic particles.
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Written from the paper’s full text.
TL;DR
The paper proves that a discrete-time quantum walk models the Dirac equation in 2+1 and 3+1 dimensions, and that its solutions converge to the Dirac Cauchy problem as the discretization step ε→0. It adapts numerical-analysis consistency, stability, and convergence arguments to give error bounds and an observational interpretation.
Key findings
- The Dirac quantum walk \(W_\varepsilon = C(H\otimes T_1)(HF\otimes T_2)(F^\dagger\otimes T_3)\) (and lower-dimensional versions) models the Dirac equation; consistency is proved to order \(r=1\), stability follows from unitarity, and hence the model is convergent to first order.
- For any time \(x_0\) and sufficiently regular initial condition \(\phi\), the probability of observing a discrepancy between the iterated walk \(W_\varepsilon^l\,\mathrm{reconstruct}(\mathrm{discretize}(\phi))\) and the Dirac solution \(T(x_0)\phi\) goes to zero quadratically as \(\varepsilon\to 0\); in norm, the error is bounded as \(O(\varepsilon)\) with \(l\varepsilon=x_0\).
- The method generalizes to Bargmann–Wigner equations and symmetric hyperbolic systems in general, and more generally to equations whose Hamiltonians can be expressed as sums of logarithms of quantum walks.
- In the observational-equivalence case \(s=0\), the Sobolev norm coincides with the quantum-theory norm, and the probability of discrepancy is bounded above by a term proportional to \(\varepsilon^2\|\psi(0)\|^2\), diminishing quadratically as \(\varepsilon\to 0\).
Methods
- Informal derivations are given in 2+1 and 3+1 dimensions; formal analysis is carried out in Fourier space using Sobolev spaces \(H^s_m\), with well-posedness of the Dirac Cauchy problem as a symmetric hyperbolic system.
- Consistency of order \(r=1\) is proved by Taylor expansion of the Fourier-space walk operator \(W_\varepsilon(k)\) in \(\varepsilon\); stability is proved via unitarity; convergence is obtained via the Lax theorem and an inlined quantified proof.
- Space discretization is handled by low-pass filtering, sampling, renormalization, and reconstruction (Whittaker–Kotelnikov–Shannon), yielding an overall error bound combining discretization and walk convergence.
Limitations
- Stated: the paper leaves for future work the study of Poincaré-invariance of such discrete models and a decohered version of the quantum-walk model.
- Stated/evident: convergence requires sufficiently regular initial conditions, specifically \(\phi\in H^{s+2}_m\), and the discretization uses ideal low-pass filtering and renormalization; the result is for the free Dirac equation and symmetric hyperbolic systems, not interacting quantum field theory.
- Evident from the text: no experimental data or physical implementation is provided; the observational equivalence is a mathematical probability bound, and the paper explicitly asks whether experimentalists could tell the difference.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
8 of 24 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Premisecitation
The (2+1)-dimensional Dirac QW models the (2+1)-dimensional Dirac equation.
“This Dirac QW [4-6] models the + (2 1)-dimensional Dirac equation.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [4] source
- cites [5] source
In “Dirac and Weyl Equations on a Lattice as Quantum Cellular Automata,” p. 4, the paper says its lattice evolution has the Dirac equation as its continuum limit. Page 3 separately mentions a discretized Weyl equation in two spatial dimensions, but the copy does not establish that the cited model is a (2+1)-dimensional Dirac quantum walk. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [6] source
Section 4 (pp. 9, 11) says the quantum particle automaton approximates a Dirac particle and yields the Dirac propagator in the continuum limit. But the Introduction (p. 2) explicitly limits the paper to one dimension; it does not support the claim about a (2+1)-dimensional Dirac quantum walk. (LLM, conf=0.89)
Experimental — accuracy not yet measured
- Premisecitation
Convergence of the Dirac QW has been proved in (1+1)-dimensions in [13, 14, 16].
“It has been proved in + (1 1)-dimensions in [13, 14, 16].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [13] source
- cites [14] source
- cites [16] source
Section 4 (p. 10) derives dynamics of a discrete-time quantum walk that correspond to the Dirac equation in 1+1 dimensions, and Section 6 (p. 18) describes this as asymptotic behavior. The paper does not explicitly establish the claimed convergence of a Dirac quantum walk; its stated weak-convergence results concern quantum-walk limit distributions. (LLM, conf=0.80)
Experimental — accuracy not yet measured
- Findingreasoning
Consistency is ensured to first order.
“consistency is ensured to first order”
Quote in the paperSubstantial claim - Findingreasoning
The reconstruction procedure satisfies reconstruct(discretize(φ)) = φ_LP.
“Notice that ϕ ϕ = ( ) ( ) reconstruct discretize LP LP”
Quote in the paperSubstantial claim - Findingreasoning
The overall error of the scheme (discretize, walk, reconstruct) is bounded by (C+C') ε ||φ||_{H^{s+2}} for all φ.
“And thus the bound on the overall error is:”
- Also stated in: § 4. Space discretization · plain
“ϕ ε ϕ ε ϕ ∥ - ∥ ⩽ + ′ ε + ( ) W T l lC C reconstruct (discretize( )) ( ) ( ) . l H H 2 m s m s 2”
Quote in the paperSubstantial claim - Also stated in: § 4. Space discretization · plain
- Findingreasoning
The QW operator W_ε is stable: for all φ and s≥0, ||W_ε φ||_{H^s} = ||φ||_{H^s}.
“Thus, let us prove that for all ϕ, for all ⩾ s 0, we have ϕ ϕ = ε W || || || || H H m s m s”
- Also stated in: § 3.3. Stability · plain
“where in the second to third lines we used the fact that as ε W is a translation-invariant unitary operator it is represented in Fourier space as a left multiplication by a unitary matrix ε W k ˆ( ), which depends on k.”
Quote in the paperSubstantial claim - Also stated in: § 3.3. Stability · plain
- Findingnone given
The link between the Dirac equation and quantum walks is shown to hold for Bargmann-Wigner equations and symmetric hyperbolic systems in general.
“This link, which was proposed already by Succi and Benzi, Bialynicki-Birula and Meyer, is shown to hold for Bargmann-Wigner equations and symmetric hyperbolic systems in general.”
Quote in the paperSubstantial claim - Findingreasoning
The constructed walk is the (3+1)-dimensional Dirac QW.
“This is the + (3 1)-dimensional Dirac QW.”
Quote in the paperSubstantial claim - Findingreasoning
The probability of observing a discrepancy between the model and the solution is upper bounded by O(ε^2), with ε the discretization step.
“the probability of observing a discrepancy between the model and the solution is upper bounded by a ε O ( ) 2 , with ε the discretization step”
Quote in the paperSubstantial claim - Findingreasoning
For any time t, the model converges to the continuous solution of the Dirac equation at time t.
“for any time t, we proved that the model converges to the continuous solution of the Dirac equation at time t”
Quote in the paperSubstantial claim - Findingreasoning
The QW operator W_ε is consistent of order 1 on H^{s+2} with respect to H^s for all s≥0, with constant C=(n+1)/2.
“This is what we will now prove: that for ⩾ s 0, r = 1, = X H ( ) m s n d and = + Y H ( ) m s n d 2 , there exists C such that for all ϕ, ε:”
- Also stated in: § 3.2. Consistency · plain
“which is what we wanted to prove, C being + 1 n 2 .”
Quote in the paperSubstantial claim - Also stated in: § 3.2. Consistency · plain
- Findingreasoning
The discretization procedure yields φ_discretize proportional to the function obtained by sampling φ after low-pass filtering.
“ϕ discretize( ) is hence proportional to the function obtained by sampling ϕ after it has been low-pass filtered.”
Quote in the paperSubstantial claim - Findingreasoning
The QW model W_ε is convergent of order 1 on H^{s+2} to the continuous Dirac solution for all s≥0.
“This is exactly what we will now prove: that for ⩾ s 0, r = 1, = X H ( ) m s n d and = + Y H ( ) m s n d 2 , there exists C such that for all ϕ, ε:”
- Also stated in: § 3.4. Convergence · plain
“as requested.”
Quote in the paperSubstantial claim - Also stated in: § 3.4. Convergence · plain
- Findingnone given
Stability is given by unitarity.
“stability is given by unitarity”
Quote in the paperSubstantial claim - Findingreasoning
The quantum walk W_ε models the Dirac equation.
“models the Dirac equation.”
Quote in the paperSubstantial claim - Premisereasoning
For s=0, the Sobolev norm coincides with the L^2 norm of quantum theory.
“Consider the case when s = 0. We then have = L H ( ) ( ) n d m n d 2 0 , as = ||.|| ||.|| H 2 m 0 : the Sobolev norm then coincides with that of quantum theory”
Quote in the paperSubstantial claim - Interpretationreasoning
Convergence at s=0 gives existence of C such that if ψ(0) ∈ H^0, then for all ε = x0/l, ||W_ε^l ψ(0) - ψ(x0)||_{H^0} ≤ ε C ||ψ(0)||_{H^0}.
“Convergence gives us the existence of C such that if”
- Also stated in: § Observational equivalence. · plain
“ψ ψ ε ψ - ⩽ ε W x xC (0) ( ) (0) . l H 0 2 0 l m 2”
Quote in the paperSubstantial claim - Also stated in: § Observational equivalence. · plain
- Premisecitation
Consistency of the (1+1)-dimensional Dirac QW has been proved in [13][14][15].
“It has been proved in + (1 1) -dimensions in [13][14][15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13][14][15]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The Dirac equation can be modelled as a quantum walk (QW).
“The Dirac equation can be modelled as a quantum walk (QW)”
- Also stated in: § 1. Introduction · plain
“In [4][5][6], the Dirac equation is modelled as a QW.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4][5][6]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § 1. Introduction · plain
- Interpretationreasoning
The model is convergent to first order.
“hence the model is convergent to first order”
Quote in the paperSubstantial claim - Premisecitation
The reconstruction procedure is equivalent to the Whittaker-Kotelnikov-Shannon formula.
“and that this reconstruction is equivalent to the Whittaker-Kotelnikov-Shannon formula (see [38,39] for the multidimensional case).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisenone given
The finite-difference discretization D(Id - iε) does not conserve the ||.||_2-norm in general.
“The problem with this crude approach is that ε ε D (Id i ) does not conserve the ||.|| 2 -norm, in general.”
Quote in the paperNot a substantial claim - Premisecitation
Convergence of the Dirac QW has been observed numerically in (3+1)-dimensions in [10][11][12].
“Convergence has been observed numerically in + (3 1) -dimensions in [10][11][12].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10][11][12]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The method works for equations of the form ... such that each exp(-i D_j) is a QW.
“More generally even, the method would work for equations of the form”
Quote in the paperNot a substantial claim - Premisecitation
The Lax theorem states that stability and consistency imply convergence.
“Fortunately, the Lax theorem [36,37] states that stability and consistency implies convergence.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [36] source
- cites [37]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The approach allows to obtain convergence of the solutions from stability and consistency, without ever having to obtain the solutions themselves.
“Based on simple arguments, the approach allows to obtain convergence of the solutions from stability and consistency, without ever having to obtain the solutions themselves.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 13
- May combine two claims. 8
- The quote only partly states this claim. 3
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe difficulty to analyse the (3+1)-dimensional Dirac QW is mentioned in [14, 17-19].
“The difficulty to analyse the + (3 1)-dimensional Dirac QW is mentioned in [14, 17-19].”
Quote in the paperNot a substantial claim2 of 4 sources checked- cites [14] source
- cites [17] source
On p. 4, Strauch says a calculation for a four-component quantum walk on a three-dimensional lattice breaks down because its operators do not commute. This supports a difficulty in analyzing a related higher-dimensional walk, but the passage concerns a particular continuous-time limit and does not identify the example as a (3+1)-dimensional Dirac quantum walk or claim that analyzing it generally is difficult. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [18] source
- cites [19] Cha M, 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationConsistency of the (1+1)-dimensional Dirac QW has been observed numerically in [9] and in (3+1)-dimensions in [10-12].
“It has been observed numerically in + (1 1) -dimensions in [9] and in + (3 1)-dimensions in [10-12].”
Quote in the paperNot a substantial claim1 of 4 sources checked- cites [9] source
The Introduction and Quantum Lattice-Gas Model sections say that the one-dimensional quantum lattice gas yields the Dirac propagator in the continuum limit. The Simulations section reports numerical evolution, but does not describe it as a numerical test of consistency with the Dirac equation. The paper treats models in multiple dimensions as future work, so it does not support the (3+1)-dimensional part. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [10] Palpacelli S, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [11] source
- cites [12] source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationConsistency of the (1+1)-dimensional Dirac QW has been argued in [6], and for the (1+1)-dimensional massless case in [8].
“Consistency of the + (1 1)-dimensional Dirac QW has been argued in [6], and for the + (1 1)-dimensional massless case in [8].”
Quote in the paperNot a substantial claim2 of 2 sources checkedThe quote only partly states this claim.
FindingreasoningFor every s≥0, the loss induced by low-pass filtering is bounded: ||φ - φ_LP||_{H^s} ≤ C' ε ||φ||_{H^{s+2}}.
“Low-pass filtering.For every ⩾ s 0, we have”
- Also stated in: § 4. Space discretization · plain
“Second, the loss induced by low-pass filtering is small, as needed below in order to bound the overall error.”
Quote in the paperSubstantial claim- Also stated in: § 4. Space discretization · plain
Classified as probably not a substantial claim. May combine two claims.
Findingnone givenThe paper does not limit itself to the massless case, nor to the (1+1)-dimensional case.
“Contrary to previous works, we do not limit ourselves to the massless case, nor to the + (1 1)-dimensional case.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
FindingreasoningFor any time x0 and a sufficiently regular initial condition φ, the probability of observing a discrepancy between the iterated walk W reconstruct(discretize(φ)) and the solution of the Dirac equation ψ=T(x0)φ goes to zero quadratically as the discretization step ε goes to zero.
“We then analytically prove the convergence of the solution of the QW to the solution of the Cauchy problem for the Dirac equation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe result can be generalized to other first-order PDEs.
“It can also be generalized to other first-order PDEs”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThis method will apply equally well to more complicated QWs, e.g. Bargmann-Wigner equations and symmetric hyperbolic systems in general.
“This is a key point: this method will apply equally well to more complicated QWs, e.g.Bargmann-Wigner equations and symmetric hyperbolic systems in general.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe convergence result reinforces the status of this QW as a simple, discrete toy model of relativistic particles.
“At the theoretical level, it reinforces the status of this QW as a simple, discrete toy model of relativistic particles.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe Dirac Hamiltonian is a sum of logarithms of QWs, which enables modeling it as the product of these QWs.
“Ultimately, it is the fact the Dirac Hamiltonian is a sum of logarithms of QWs, which enables us to model it as the product of these QWs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe result can be generalized to PDEs whose Hamiltonians can be expressed as a sum of logarithms of QWs.
“as well as to PDEs whose Hamiltonians can be expressed as a sum of logarithms of QWs”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenThe matrices σ2⊗σ0 and -iσ3 are hermitian, square to the identity, and anticommute.
“Indeed, one can check that the matrices σ σ ⊗ 2 0 and σ σ -⊗ ( ) i 3 are hermitian, that they square to the identity, and that they anticommute.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningFor quantum simulation schemes without known solutions, the procedure will still apply.
“for quantum simulation schemes without known solutions, the procedure will still apply.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
InterpretationreasoningThe probability of observing a discrepancy between the iterated walk and the Dirac solution is bounded above by ε^2 C^2 ||ψ(0)||^2 / 2, diminishing quadratically as ε→0.
“Simple trigonometric reasoning shows that this is bounded above by ε ψ x C || (0)|| 2 0 2 2 2 , i.e. it diminishes quadratically as ε goes to zero.”
Quote in the paperSubstantial claim- Rests on an assumption: The probability of observing a discrepancy between two quantum states is sin^2 of the angle between them.
May combine two claims.
Premisenone givenFrom (2+1) to (3+1) dimensions the Dirac equation changes form, the spin degree of freedom goes to degree four.
“From + (2 1) to + (3 1)-dimensions the Dirac equation changes form, the spin degree of freedom goes to degree four.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe method works equally well for any symmetric hyperbolic systems with rational eigenvalues.
“The method would work equally well for any symmetric hyperbolic systems with rational eigenvalues, i.e. equations of the form”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThe result can be specialized elegantly to lower dimensions.
“The result can be specialized elegantly to lower dimensions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe method avoids the trouble of previous works which rely on solving the QW in order to compare its solution against that of the Dirac equation.
“This method avoids the trouble of previous works (e.g.[14]) which rely on solving the QW in order to compare its solution against that of the Dirac equation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] source
May combine two claims.
InterpretationreasoningThe convergence result provides precise error bounds and convergence rates, thereby validating the QW as a quantum simulation scheme.
“At the practical level, this result provides precise error bounds and convergence rates, thereby validating the QW as a quantum simulation scheme.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisereasoningConvergence implies consistency, but the converse does not always hold.
“Of course convergence implies consistency, but the converse does not always hold.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe Dirac operator is just a pointwise multiplication in Fourier space.
“because the Dirac operator is just a pointwise multiplication in Fourier space, most of our derivations will use it.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The Dirac equation is a symmetric hyperbolic system.
“Since the Dirac equation is a symmetric hyperbolic system”
The paper relies on this without support.
The probability of observing a discrepancy between two quantum states is sin^2 of the angle between them.
“According to quantum theory the probability of observing through a measurement a discrepancy between the iterated walk ϕ ε W l l and the solution of the Dirac equation ψ x ( ) 0 is given by θ sin ( ) 2 , with θ the angle between both vectors.”
The paper relies on this without support.
Quantum simulation of physical processes will need to be validated.
“With the future development of quantum computers, the quantum simulation of physical processes will also need to be validated.”
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Bisio, A., D'Ariano, G. M., & Tosini, A. (2012) · arXiv · doi:10.48550/arxiv.1212.2839
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Research works printed but not linked: 2
- 10.1063/1.2759837 · DOI · Paper page
- Sobolev S, 1938, Rec. Math. [Mat. Sbornik] N.S., 4, 471
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A review of Quantum Cellular Automata
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Quantum field as a quantum cellular automaton: The Dirac free evolution in one dimension
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Quantum cellular automaton theory of light
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Algorithm for the solution of the Dirac equation on digital quantum computers
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Li, N., Zhang, J., & Zhang, Y. (2024) · Acta Mathematica Scientia · doi:10.1007/s10473-024-0611-3 · Cited by 1 · see citing works
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The Dirac Vacuum in Discrete Spacetime
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The Approximation of Bosonic System by Fermion in Quantum Cellular Automaton
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Time arrow without past hypothesis: a toy model explanation
Arrighi, P. J., Gilles Dowek, B., & Durbec, A. (2024) · New Journal of Physics · doi:10.1088/1367-2630/ad93f5 · Cited by 1 · see citing works
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Gogioso, S., Stasinou, M. E., & Coecke, B. (2021) · Frontiers in Physics · doi:10.3389/fphy.2021.534265 · Cited by 1 · see citing works
Classification of Qubit Cellular Automata on Hypercubic Lattices
Pizzamiglio, A., Bisio, A., & Perinotti, P. (2025) · Physical Review Letters · doi:10.1103/physrevlett.134.240601
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Quantum walks : background geometry and gauge invariance
Márquez-Martín, I. (2019) · theses.fr (ABES) · doi:10.70675/8d7024f3z592fz4cb1z9f10z46474a4e0721
Marches quantiques sous champ magnétique et cages d’Aharonov-Bohm
Perrin, H. (2021) · theses.fr (ABES) · doi:10.70675/a7c32d2bz9caaz4ec0z8380z92fc4da9d335
Sellapillay, K. (2022) · theses.fr (ABES) · doi:10.70675/68bcd681zb6b3z40e5zbcaezc518a0ba21ef
Defect Migration in the D4 Vacuum Lattice: Hop Parity, Site Symmetry, and Soliton Kinematics
Kulkarni, R. (2026) · Symmetry · doi:10.3390/sym18091571
- Authors
- Arrighi, P., Nesme, V., & Forets, M.
- Affiliations
- Université Joseph Fourier (FR)
- Venue
- Journal of Physics A: Mathematical and Theoretical
- Publisher
- IOP Publishing
- Published
- 2014-11-04
- Volume
- 47
- Issue
- 46
- Pages
- 465302
- ISSN
- 1751-8113 (ISSN-L)
- 1751-8121
- OpenAlex
- W1978704488
- Semantic Scholar
- 5a92eed31ed21facac183b2ff50d473edc2b8ada
- Cited by
- 72
- References
- 31
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 5 · 2023: 4 · 2022: 8 · 2021: 5 · 2020: 7 · 2019: 10 · 2018: 5 · 2017: 6 · 2016: 7 · 2015: 5 · 2014: 1 · 2013: 1
- FWCI
- 6.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Physics A Mathematical and Theoretical (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Agence Nationale de la Recherche (ANR-10-JCJC-0208, ANR-10, ANR-10-JCJC)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Physical Sciences › Mathematics › Numerical Analysis › Numerical methods for differential equations
- Keywords
- Dirac equation, quantum walks, Bargmann-Wigner equations, symmetric hyperbolic systems, quantum simulation, convergence analysis, error bounds, convergence rate, relativistic particles, lattice discretization, Cauchy problem
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