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arXiv:1801.02219 · Physical review. B./Physical review. B

Continuous matrix product states for nonrelativistic quantum fields: A lattice algorithm for inhomogeneous systems

Martin Ganahl, Guifré Vidal

Published Nov 5, 2018• 20 citations
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Abstract

By combining the continuous matrix product state (cMPS) representation for quantum fields in the continuum with standard optimization techniques for matrix product states (MPS) on the lattice, we obtain an approximation $|\mathrm{\ensuremath{\Psi}}\ensuremath{\rangle}$, directly in the continuum, of the ground state of nonrelativistic quantum field theories. This construction works both for translation-invariant systems and in the more challenging context of inhomogeneous systems, as we demonstrate for an interacting bosonic field in a periodic potential. Given the continuum Hamiltonian $H$, we consider a sequence of discretized Hamiltonians ${{H({\ensuremath{\epsilon}}_{\ensuremath{\alpha}})}}_{\ensuremath{\alpha}=1,2,\ensuremath{\cdots},p}$ on increasingly finer lattices with lattice spacing ${\ensuremath{\epsilon}}_{1}>{\ensuremath{\epsilon}}_{2}>\ensuremath{\cdots}>{\ensuremath{\epsilon}}_{p}$. We first use energy minimization to optimize an MPS approximation $|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{1})\ensuremath{\rangle}$ for the ground state of $H({\ensuremath{\epsilon}}_{1})$. Given the MPS $|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{\ensuremath{\alpha}})\ensuremath{\rangle}$ optimized for the ground state of $H({\ensuremath{\epsilon}}_{\ensuremath{\alpha}})$, we use it to initialize the energy minimization for Hamiltonian $H({\ensuremath{\epsilon}}_{\ensuremath{\alpha}+1})$, resulting in the optimized MPS $|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{\ensuremath{\alpha}+1})\ensuremath{\rangle}$. By iteration we produce an optimized MPS $|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{p})\ensuremath{\rangle}$ for the ground state of $H({\ensuremath{\epsilon}}_{p})$, from which we finally extract the cMPS approximation $|\mathrm{\ensuremath{\Psi}}\ensuremath{\rangle}$ for the ground state of $H$. Two key ingredients of our proposal are as follows: (i) a procedure to discretize $H$ into a lattice model where each site contains a two-dimensional vector space (spanned by vacuum $|0\ensuremath{\rangle}$ and one boson $|1\ensuremath{\rangle}$ states), and (ii) a procedure to map MPS representations from a coarser lattice to a finer lattice.

DOI
10.1103/physrevb.98.195105

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By combining the continuous matrix product state (cMPS) representation for quantum fields in the continuum with standard optimization techniques for matrix product states (MPS) on the lattice, we obtain an approximation ∣\ensuremathΨ\ensuremath⟩|\mathrm{\ensuremath{\Psi}}\ensuremath{\rangle}∣\ensuremathΨ\ensuremath⟩, directly in the continuum, of the ground state of nonrelativistic quantum field theories. This construction works both for translation-invariant systems and in the more challenging context of inhomogeneous systems, as we demonstrate for an interacting bosonic field in a periodic potential. Given the continuum Hamiltonian HHH, we consider a sequence of discretized Hamiltonians H(\ensuremathϵ\ensuremathα)\ensuremathα=1,2,\ensuremath⋯,p{{H({\ensuremath{\epsilon}}_{\ensuremath{\alpha}})}}_{\ensuremath{\alpha}=1,2,\ensuremath{\cdots},p}H(\ensuremathϵ\ensuremathα​)\ensuremathα=1,2,\ensuremath⋯,p​ on increasingly finer lattices with lattice spacing \ensuremathϵ1>\ensuremathϵ2>\ensuremath⋯>\ensuremathϵp{\ensuremath{\epsilon}}_{1}>{\ensuremath{\epsilon}}_{2}>\ensuremath{\cdots}>{\ensuremath{\epsilon}}_{p}\ensuremathϵ1​>\ensuremathϵ2​>\ensuremath⋯>\ensuremathϵp​. We first use energy minimization to optimize an MPS approximation ∣\ensuremathΨ(\ensuremathϵ1)\ensuremath⟩|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{1})\ensuremath{\rangle}∣\ensuremathΨ(\ensuremathϵ1​)\ensuremath⟩ for the ground state of H(\ensuremathϵ1)H({\ensuremath{\epsilon}}_{1})H(\ensuremathϵ1​). Given the MPS ∣\ensuremathΨ(\ensuremathϵ\ensuremathα)\ensuremath⟩|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{\ensuremath{\alpha}})\ensuremath{\rangle}∣\ensuremathΨ(\ensuremathϵ\ensuremathα​)\ensuremath⟩ optimized for the ground state of H(\ensuremathϵ\ensuremathα)H({\ensuremath{\epsilon}}_{\ensuremath{\alpha}})H(\ensuremathϵ\ensuremathα​), we use it to initialize the energy minimization for Hamiltonian H(\ensuremathϵ\ensuremathα+1)H({\ensuremath{\epsilon}}_{\ensuremath{\alpha}+1})H(\ensuremathϵ\ensuremathα+1​), resulting in the optimized MPS ∣\ensuremathΨ(\ensuremathϵ\ensuremathα+1)\ensuremath⟩|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{\ensuremath{\alpha}+1})\ensuremath{\rangle}∣\ensuremathΨ(\ensuremathϵ\ensuremathα+1​)\ensuremath⟩. By iteration we produce an optimized MPS ∣\ensuremathΨ(\ensuremathϵp)\ensuremath⟩|\mathrm{\ensuremath{\Psi}}({\ensuremath{\epsilon}}_{p})\ensuremath{\rangle}∣\ensuremathΨ(\ensuremathϵp​)\ensuremath⟩ for the ground state of H(\ensuremathϵp)H({\ensuremath{\epsilon}}_{p})H(\ensuremathϵp​), from which we finally extract the cMPS approximation ∣\ensuremathΨ\ensuremath⟩|\mathrm{\ensuremath{\Psi}}\ensuremath{\rangle}∣\ensuremathΨ\ensuremath⟩ for the ground state of HHH. Two key ingredients of our proposal are as follows: (i) a procedure to discretize HHH into a lattice model where each site contains a two-dimensional vector space (spanned by vacuum ∣0\ensuremath⟩|0\ensuremath{\rangle}∣0\ensuremath⟩ and one boson ∣1\ensuremath⟩|1\ensuremath{\rangle}∣1\ensuremath⟩ states), and (ii) a procedure to map MPS representations from a coarser lattice to a finer lattice.
Continuous Matrix Product States (cMPS) are powerful variational ansatz states for ground states of continuous quantum field theories in (1+1) dimension. In this paper we introduce a novel parametrization of the cMPS wave function based on basis-spline functions, which we coin spline-based MPS (spMPS), and develop novel regauging techniques for inhomogeneous cMPS. We extend a recently developed ground-state optimization algorithm for translational invariant cMPS [M. Ganahl, J. Rincón, G.Vidal. Phys.Rev.Lett. 118,220402 (2017)] to the case of inhomogeneous cMPS and, as proof-of-principle, use it to obtain the ground-state of a gas of Lieb-Liniger bosons in a periodic potential. The proposed method provides a first working implementation of a cMPS optimization for non-translational invariant continuous Hamiltonians.
The generalization of matrix product states (MPS) to continuous systems, as proposed in the breakthrough Letter of Verstraete and Cirac [Phys. Rev. Lett. 104, 190405 (2010).PRLTAO0031-900710.1103/PhysRevLett.104.190405], provides a powerful variational ansatz for the ground state of strongly interacting quantum field theories in one spatial dimension. A continuous MPS (cMPS) approximation to the ground state can be obtained by simulating a Euclidean time evolution. In this Letter we propose a cMPS optimization algorithm based instead on energy minimization by gradient methods and demonstrate its performance by applying it to the Lieb-Liniger model (an integrable model of an interacting bosonic field) directly in the thermodynamic limit. We observe a very significant computational speed-up, of more than 2 orders of magnitude, with respect to simulating a Euclidean time evolution. As a result, a much larger cMPS bond dimension D can be reached (e.g., D=256 with moderate computational resources), thus helping unlock the full potential of the cMPS representation for ground state studies.
Just as matrix product states represent ground states of one-dimensional quantum spin systems faithfully, continuous matrix product states (cMPS) provide faithful representations of the vacuum of interacting field theories in one spatial dimension. Unlike the quantum spin case, however, for which the density matrix renormalization group and related matrix product state algorithms provide robust algorithms for optimizing the variational states, the optimization of cMPS for systems with inhomogeneous external potentials has been problematic. We resolve this problem by constructing a piecewise linear parameterization of the underlying matrix-valued functions, which enables the calculation of the exact reduced density matrices everywhere in the system by high-order Taylor expansions. This turns the variational cMPS problem into a variational algorithm from which both the energy and its backwards derivative can be calculated exactly and at a cost that scales as the cube of the bond dimension. We illustrate this by finding ground states of interacting bosons in external potentials and by calculating boundary or Casimir energy corrections of continuous many-body systems with open boundary conditions.
In this work we introduce an ansatz for continuous matrix product operators for quantum field theory. We show that (i) they admit a closed-form expression in terms of finite number of matrix-valued functions without reference to any lattice parameter; (ii) they are obtained as a suitable continuum limit of matrix product operators; (iii) they preserve the entanglement area law directly in the continuum, and in particular they map continuous matrix product states (cMPS) to another cMPS. As an application, we use this ansatz to construct several families of continuous matrix product unitaries beyond quantum cellular automata.
The central topic of this thesis is on the fermionic continuous matrix product states (cMPS) variational ansatz for many-body quantum systems in a one-dimensional (1D) continuum.The matrix product states (MPS) is a variational ansatz which has been tremendously successful for nearly two decades in efficiently approximating groundstate properties of low-dimensional quantum lattice systems.The MPS is intrinsically designed for discrete lattice systems, however, and the cMPS has been introduced in 2010 as a continuum analogue of the MPS, enabling the possibility to directly tackle systems of quantum gases and liquids without resorting to discretization of space.
I introduce a modification of continuous matrix product states (CMPS) that makes them adapted to relativistic quantum field theories (QFT). These relativistic CMPS can be used to solve genuine (1+11+11+1)-dimensional QFT without UV cutoff and directly in the thermodynamic limit. The main idea is to work directly in the basis that diagonalizes the free part of the model considered, which allows one to fit its short distance behavior exactly. This makes computations slightly less trivial than with standard CMPS. However, they remain feasible, and I present all the steps needed for the optimization. The asymptotic cost as a function of the bond dimension remains the same as for standard CMPS. I illustrate the method on the self-interacting scalar field, also known as the ${\ensuremath{\phi}}_{2}^{4}$ model. Aside from providing unequaled precision in the continuum, the numerical results obtained are truly variational, and thus provide rigorous energy upper bounds.