4 papers
Hybrid Quantum-Classical Neural Networks for Recognizing Quantum Phases
Colin Scarato, Johannes Knörzer, Markus K. Hoffmann +11
Identifying quantum phases of matter is key to understanding strongly correlated materials, but remains a challenging task for both conventional computers and current quantum proce…
Hybrid quantum-classical neural network for sample-efficient recognition of topological phases
Markus K. Hoffmann, Leon C. Sander, Colin Scarato +4
With increasing maturity of quantum computers, standard methods for characterizing global properties of their output quantum states via direct measurements and classical post-proce…
Quantum Convolutional Neural Network for Phase Recognition in Two Dimensions
Leon C. Sander, Nathan A. McMahon, Petr Zapletal +1
Quantum convolutional neural networks (QCNNs) are quantum circuits for characterizing complex quantum states. They have been proposed for recognizing quantum phases of matter at lo…
Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
Petr Zapletal, Nathan A. McMahon, Michael J. Hartmann
The analysis of noisy quantum states prepared on current quantum computers is getting beyond the capabilities of classical computing. Quantum neural networks based on parametrized…