Quantum codes from neural networks
We examine the usefulness of applying neural networks as a variational state ansatz for many-body quantum systems in the context of quantum information-processing tasks. In the neural network state ansatz, the complex amplitude function of a quantum state is computed by a neural network. The resulti...
Main Authors: | Johannes Bausch, Felix Leditzky |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2020-01-01
|
Series: | New Journal of Physics |
Subjects: | |
Online Access: | https://doi.org/10.1088/1367-2630/ab6cdd |
Similar Items
-
Improving the Performance of Quantum Cryptography by Using the Encryption of the Error Correction Data
by: Valeria A. Pastushenko, et al.
Published: (2023-06-01) -
Semiclassical grounds of the Calderbank-Shor-Steane quantum error correction codes
by: Manuel Avila Aoki
Published: (2009-10-01) -
Quantum Coding Bounds and a Closed-Form Approximation of the Minimum Distance Versus Quantum Coding Rate
by: Daryus Chandra, et al.
Published: (2017-01-01) -
Quantum error correction with the semion code
by: G Dauphinais, et al.
Published: (2019-01-01) -
New Constructions of Quantum Stabilizer Codes Based on Difference Sets
by: Duc Manh Nguyen, et al.
Published: (2018-11-01)