Tensor-network approach to quantum optical state evolution beyond the Fock basis

Fuente: arXiv
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Main Authors: Kapridov, Nikolay, Tiunov, Egor, Chermoshentsev, Dmitry
Format: Preprint
Published: 2025
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author Kapridov, Nikolay
Tiunov, Egor
Chermoshentsev, Dmitry
author_facet Kapridov, Nikolay
Tiunov, Egor
Chermoshentsev, Dmitry
contents Understanding the quantum evolution of light in nonlinear media is central to the development of next-generation quantum technologies. Yet modeling these processes remains computationally demanding, as the required resources grow rapidly with photon number and phase-space resolution. Here we introduce a tensor-network approach that efficiently captures the dynamics of nonlinear optical systems in a continuous-variable representation. Using the matrix product state (MPS) formalism, both quantum states and operators are encoded in a highly compressed form, enabling direct numerical integration of the Schrödinger equation. We demonstrate the method by simulating degenerate spontaneous parametric down-conversion (SPDC) and show that it accurately reproduces established theoretical benchmarks - energy conservation, pump depletion, and quadrature squeezing - even in regimes where conventional Fock-basis simulations become infeasible. For high-intensity pump fields ($α= 100$), the MPS representation achieves compression ratios above $3\cdot 10^3$ while preserving physical fidelity. This framework opens a scalable route to modeling multimode quantum light and nonlinear optical phenomena beyond the reach of traditional methods.
format Preprint
id arxiv_https___arxiv_org_abs_2511_15295
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tensor-network approach to quantum optical state evolution beyond the Fock basis
Kapridov, Nikolay
Tiunov, Egor
Chermoshentsev, Dmitry
Quantum Physics
Computational Physics
Optics
Understanding the quantum evolution of light in nonlinear media is central to the development of next-generation quantum technologies. Yet modeling these processes remains computationally demanding, as the required resources grow rapidly with photon number and phase-space resolution. Here we introduce a tensor-network approach that efficiently captures the dynamics of nonlinear optical systems in a continuous-variable representation. Using the matrix product state (MPS) formalism, both quantum states and operators are encoded in a highly compressed form, enabling direct numerical integration of the Schrödinger equation. We demonstrate the method by simulating degenerate spontaneous parametric down-conversion (SPDC) and show that it accurately reproduces established theoretical benchmarks - energy conservation, pump depletion, and quadrature squeezing - even in regimes where conventional Fock-basis simulations become infeasible. For high-intensity pump fields ($α= 100$), the MPS representation achieves compression ratios above $3\cdot 10^3$ while preserving physical fidelity. This framework opens a scalable route to modeling multimode quantum light and nonlinear optical phenomena beyond the reach of traditional methods.
title Tensor-network approach to quantum optical state evolution beyond the Fock basis
topic Quantum Physics
Computational Physics
Optics
url https://arxiv.org/abs/2511.15295