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Titel:

Neural Network Continuous-Variable Quantum Computing

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Knudsen, Martin; Mendl, Christian
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...     »
Zeitschriftentitel:
arXiv
Jahr:
2020
Jahr / Monat:
2020-12
Quartal:
4. Quartal
Monat:
Dec
Reviewed:
nein
Sprache:
en
WWW:
https://arxiv.org/abs/2012.12220
Hinweise:
Archive-ID: 2020_12_22_SolvingDifferentialEquationsviaContinuous-VariableQuantumComputers
Status:
Preprint / submitted
TUM Einrichtung:
Department of Informatics
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