Quantum error reduction with deep neural network applied at the post-processing stage

DOI10.1007/S11128-022-03433-9OpenAlexW3162201043MaRDI QIDQ2107019

Andrey Zhukov, W. V. Pogosov

Publication date: 29 November 2022

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.07793

zbMATH Keywords

neural networksquantum algorithmsmachine learningIsing chainXY spin chainerror mitigationDNNIBM QNISQ processorsTrotter evolution

Mathematics Subject Classification ID

Quantum computation (81P68) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Mathematical modeling or simulation for problems pertaining to quantum theory (81-10)

Related Items (1)

The effect of quantum noise on algorithmic perfect quantum state transfer on NISQ processors

Uses Software

• Adam

Cites Work

• Quantum communication protocols as a benchmark for programmable quantum computers
• Simulating a perceptron on a quantum computer
• Algorithmic simulation of far-from-equilibrium dynamics using quantum computer
• Digital quantum simulation of non-equilibrium quantum many-body systems
• Quantum entanglement
• Quantum machine learning: a classical perspective

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