Challenges with Differentiable Quantum Dynamics

Fuente: arXiv
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Auteurs principaux: Narayanan, Sri Hari Krishna, Perlin, Michael, Lewis-Swan, Robert, Larson, Jeffrey, Menickelly, Matt, Hückelheim, Jan, Hovland, Paul
Format: Preprint
Publié: 2024
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author Narayanan, Sri Hari Krishna
Perlin, Michael
Lewis-Swan, Robert
Larson, Jeffrey
Menickelly, Matt
Hückelheim, Jan
Hovland, Paul
author_facet Narayanan, Sri Hari Krishna
Perlin, Michael
Lewis-Swan, Robert
Larson, Jeffrey
Menickelly, Matt
Hückelheim, Jan
Hovland, Paul
contents Differentiable quantum dynamics require automatic differentiation of a complex-valued initial value problem, which numerically integrates a system of ordinary differential equations from a specified initial condition, as well as the eigendecomposition of a matrix. We explored several automatic differentiation frameworks for these tasks, finding that no framework natively supports our application requirements. We therefore demonstrate a need for broader support of complex-valued, differentiable numerical integration in scientific computing libraries.
format Preprint
id arxiv_https___arxiv_org_abs_2406_06361
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Challenges with Differentiable Quantum Dynamics
Narayanan, Sri Hari Krishna
Perlin, Michael
Lewis-Swan, Robert
Larson, Jeffrey
Menickelly, Matt
Hückelheim, Jan
Hovland, Paul
Quantum Physics
Optimization and Control
Differentiable quantum dynamics require automatic differentiation of a complex-valued initial value problem, which numerically integrates a system of ordinary differential equations from a specified initial condition, as well as the eigendecomposition of a matrix. We explored several automatic differentiation frameworks for these tasks, finding that no framework natively supports our application requirements. We therefore demonstrate a need for broader support of complex-valued, differentiable numerical integration in scientific computing libraries.
title Challenges with Differentiable Quantum Dynamics
topic Quantum Physics
Optimization and Control
url https://arxiv.org/abs/2406.06361