Publications (10)
Long-lived elementary excitations and light coherence in topological lasers
Petr Zapletal, Bogdan Galilo, Andreas Nunnenkamp
Combining topologically-protected chiral light transport and laser amplification gives rise to topological lasers, whose operation is immune to fabrication imperfections and defect…
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…
Dynamical Generation of Synthetic Electric Fields for Photons in the Quantum Regime
Petr Zapletal, Andreas Nunnenkamp
Optomechanics offers a natural way to implement synthetic dynamical gauge fields, leading to synthetic electric fields for phonons and, as a consequence, to unidirectional light tr…
Stabilization of multi-mode Schrodinger cat states via normal-mode dissipation engineering
Petr Zapletal, Andreas Nunnenkamp, Matteo Brunelli
Non-Gaussian quantum states have been deterministically prepared and autonomously stabilized in single- and two-mode circuit quantum electrodynamics architectures via engineered di…
Dynamically Generated Synthetic Electric Fields for Photons
Petr Zapletal, Stefan Walter, Florian Marquardt
Static synthetic magnetic fields give rise to phenomena including the Lorentz force and the quantum Hall effect even for neutral particles, and they have by now been implemented in…
Realizing Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases
Johannes Herrmann, Sergi Masot Llima, Ants Remm +15
Quantum computing crucially relies on the ability to efficiently characterize the quantum states output by quantum hardware. Conventional methods which probe these states through d…
Direct observation of phase sensitive Hong-Ou-Mandel interference
Petr Marek, Petr Zapletal, Radim Filip +5
Quality of individual photons and their ability to interfere is traditionally tested by measuring the Hong-Ou-Mandel photon bunching effect. However, this phase insensitive measure…
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…
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…
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…