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Document type:
Zeitschriftenaufsatz 
Author(s):
Knudsen, Martin; Mendl, Christian 
Title:
Neural Network Continuous-Variable Quantum Computing 
Abstract:
We explore how a continuous-variable (CV) quantum computer could solve a classic differential equation, making use of its innate capability to represent real numbers in qumodes. Specifically, we construct variational CV quantum circuits [Killoran et al., Phys.~Rev.~Research 1, 033063 (2019)] to approximate the solution of one-dimensional ordinary differential equations (ODEs), with input encoding based on displacement gates and output via measurement averages. Our simulations and parameter optim...    »
 
Journal title:
arXiv 
Year:
2020 
Year / month:
2020-12 
Quarter:
4. Quartal 
Month:
Dec 
Reviewed:
nein 
Language:
en 
Notes:
Archive-ID: 2020_12_22_SolvingDifferentialEquationsviaContinuous-VariableQuantumComputers 
Status:
Preprint / submitted 
TUM Institution:
Department of Informatics