Belliardo, F.; Zoratti, F.; Marquardt, F.; Giovannetti, V.: Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology. arXiv, 2312.16985 (2023), 42 pages, 9 figures pp.

Xu, L.; Guo, L.: Catch and release of propagating bosonic field with non-Markovian giant atom. arXiv, 2312.08832 (2023), 26 pages, 7 figures pp.

Puviani, M.; Borah, S.; Zen, R.; Olle, J.; Marquardt, F.: Boosting the Gottesman-Kitaev-Preskill quantum error correction with non-Markovian feedback. arXiv, 2312.07391 (2023), 15 pages, 16 figures pp.

Grigoriou, E.; Ning, Z.; Su, H.; Löckler, B.; Li, M.; Kamiya, Y.; Navarrete-Benlloch, C.: Coherent pair injection as a route towards the enhancement of supersolid order in many-body bosonic models. arXiv, 2312.03624 (2023)

Krenn, M.; Drori, Y.; Adhikari, R. X.: Digital Discovery of interferometric Gravitational Wave Detectors. arXiv, 2312.04258 (2023), 16 pages, 15 figures. Comments welcome! pp.

Nägele, M.; Marquardt, F.: Optimizing ZX-Diagrams with Deep Reinforcement Learning. arXiv, 2311.18588 (2023), 12 pages, 7 figures pp.

Bose, S.; Fuentes, I.; Geraci, A. A.; Khan, S. M.; Qvarfort, S.; Rademacher, M.; Rashid, M.; Toroš, M.; Ulbricht, H.; Wanjura, C. C.: Massive quantum systems as interfaces of quantum mechanics and gravity. arXiv, 2311.09218 (2023), 54 pages, 8 figures. Manuscript prepared for submission to Reviews of Modern Physics. Comments welcome pp.

Olle, J.; Zen, R.; Puviani, M.; Marquardt, F.: Simultaneous Discovery of Quantum Error Correction Codes and Encoders with a Noise-Aware Reinforcement Learning Agent. arXiv, 2311.04750 (2023), 15 pages, 7 figures pp.

Tissot, B.; Ribeiro, H.; Marquardt, F.: Reservoir Engineering for Classical Nonlinear Fields. arXiv, 2310.14854 (2023), 14 pages, 6 figures pp.

Landgraf, J.; Flühmann, C.; Fösel, T.; Marquardt, F.; Schoelkopf, R. J.: Fast quantum control of cavities using an improved protocol without coherent errors. arXiv, 2310.10498 (2023), 19 pages, 3 figures in the main text, 1 figure in the Appendix pp.

Rodríguez Mangues, C.; Arlt, S.; Möckl, L.; Krenn, M.: XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy. arXiv, 2310.08408 (2023)

Luce, A.; Alaee, R.; Knorr, F.; Marquardt, F.: Merging automatic differentiation and the adjoint method for photonic inverse design. arXiv, 2309.16731 (2023)

Sayyad, S.; Lado, J. L.: Transfer learning from Hermitian to non-Hermitian quantum many-body physics. arXiv, 2309.06303 (2023), 4+2 pages, 4+4 figures pp.

Wanjura, C. C.; Marquardt, F.: Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering. arXiv, 2308.16181 (2023), 18 pages, 6 figures; comments welcome! pp.

Sayyad, S.: Non-Hermitian chiral anomalies in interacting systems. arXiv, 2306.14766 (2023)

Sarra, L.; Ellis, K.; Marquardt, F.: Discovering Quantum Circuit Components with Program Synthesis. arXiv, 2305.01707 (2023)

Kopaei, A. E.; Sacha, K.; Guo, L.: Classical Phase Space Crystals in Open Environment. arXiv, 2303.07856 (2023), 11 pages, 5 figures pp.

Guo, L.; Peano, V.: Engineering Arbitrary Hamiltonians in Phase Space. arXiv, 2302.04257 (2023), 14 pages, 4 figures pp.

Mohseni, N.; Shi, J.; Byrnes, T.; Hartmann, M.: Deep learning of many-body observables and quantum information scrambling. arXiv, 2302.04621 (2023)

Baßler, N. S.; Reitz, M.; Schmidt, K. P.; Genes, C.: Linear optical elements based on cooperative subwavelength emitter arrays. Optics Express 31 (4) pp. 6003 - 6026 (2023), 16 pp.