Dissemination

2022

• Saggio, V. and Walther, P., Few‐Copy Entanglement Detection in the Presence of Noise. Annalen der Physik, p.2100597 (2022). https://doi.org/10.1002/andp.202100597

• Rubino, G., Manzano, G., Rozema, L.A., Walther, P., Parrondo, J.M. and Brukner, Č. Inferring work by quantum superposing forward and time-reversal evolutions. Physical Review Research 4(1), 013208 (2022). https://doi.org/10.1103/PhysRevResearch.4.013208

• Chandarana, P., Hegade, N.N., Paul, K., Albarrán-Arriagada, F., Solano, E., Del Campo, A. and Chen, X. Digitized-counterdiabatic quantum approximate optimization algorithm. Physical Review Research, 4(1), 013141 (2022). https://doi.org/10.1103/PhysRevResearch.4.013141

• Hegade, N.N., Chandarana, P., Paul, K., Chen, X., Albarrán-Arriagada, F. and Solano, E. Portfolio optimization with digitized counterdiabatic quantum algorithms. Physical Review Research 4(4), p.043204 (2022). https://doi.org/10.1103/PhysRevResearch.4.043204

• Narendra N. Hegade, Xi Chen, and Enrique Solano. Digitized counterdiabatic quantum optimization. Phys. Rev. Research 4, L04203 (2022). https://doi.org/10.1103/PhysRevResearch.4.L042030

• Paul, K., Kong, Q. and Chen, X. Efficient Broadband Frequency Conversion via Shortcuts to Adiabaticity. Advanced Quantum Technologies, 2200076 (2022). https://doi.org/10.1002/qute.202200076

• Sun, D., Chandarana, P., Xin, Z.H. and Chen, X. Optimizing counterdiabaticity by variational quantum circuits. Philosophical Transactions of the Royal Society A 380(2239), 20210282 (2022). https://doi.org/10.1098/rsta.2021.0282

• Ding, Y., Ban, Y. and Chen, X., Towards Quantum Control with Advanced Quantum Computing: A Perspective. Entropy 24(12), 1743 (2022). https://doi.org/10.3390/e24121743

• Borghi, M. and Pavesi, L. Mitigating indistinguishability issues in photon pair sources by delayed-pump intermodal four wave mixing. Optics Express 30(8), 2964-12981 (2022). https://doi.org/10.1364/OE.452910

• G Piccoli, M Sanna, M Borghi, L Pavesi, M Ghulinyan. Silicon oxynitride platform for linear and nonlinear photonics at NIR wavelengths. Optical Materials Express 12(9), 3551-3562 (2022). https://doi.org/10.1364/OME.463940

• M. Bernard, L. Gemma, D. Brunelli, G. Paternoster, and M. Ghulinyan. Coupling of Photonic Waveguides to Integrated Detectors Using 3D Inverse Tapering. Journal of Lightwave Technology (2022) 40(18), 6201-6206. https://doi.org/10.1109/JLT.2022.3190041

• M. Ehrhardt, M. Heinrich, and A. Szameit. Observation-dependent suppression and enhancement of two-photon coincidences by tailored losses. Nature Photonics 16, 191-195 (2022). https://doi.org/10.1038/s41566-021-00943-3

2021

• V. Saggio, B.E. Asenbeck, A. Hamann, T. Strömberg, P. Schiansky, V. Dunjko, N. Friis, N.C. Harris, M. Hochberg, D. Englund, S. Wölk, H. J. Briegel, P. Walther. Experimental quantum speed-up in reinforcement learning agents. Nature 591, 229–233 (2021). https://doi.org/10.1038/s41586-021-03242-7

• N. N. Hegade, K. Paul, Y. Ding, M. Sanz, F. Albarrán-Arriagada, E. Solano, and Xi Chen. Shortcuts to adiabaticity in digitized adiabatic quantum computing. Physical Review Applied 15(2), 024038 (2021). https://doi.org/10.1103/PhysRevApplied.15.024038

• Y. Yan, Ch. Shi, A. Kinos, H. Syed, S. P. Horvath, A. Walther, L. Rippe, X. Chen, and S. Kröll. Experimental implementation of precisely tailored light-matter interaction via inverse engineering. npj Quantum Information 7, 138 (2021). https://doi.org/10.1038/s41534-021-00473-4

• Y. Ding, Y. Ban, J. D. Martín-Guerrero, E. Solano, J. Casanova, and X. Chen. Breaking adiabatic quantum control with deep learning. Physical Review A 103, L040401 (2021). https://doi.org/10.1103/PhysRevA.103.L040401

• Y. Ban, X. Chen, E. Torrontegui, E. Solano, and J. Casanova. Speeding up quantum perceptron via shortcuts to adiabaticity. Scientific Reports 11, 5783 (2021). https://doi.org/10.1038/s41598-021-85208-3

• L. Dong, I. Arrazola, X. Chen, and J. Casanova. Phase-adaptive dynamical decoupling methods for robust spin-spin dynamics in trapped ions. Physical Review Applied 15, 034055 (2021). https://doi.org/10.1103/PhysRevApplied.15.034055

• M. Bernard, F. Acerbi, G. Paternoster, G. Piccoli, L. Gemma, D. Brunelli, A. Gola, G. Pucker, L. Pancheri, and M. Ghulinyan. Top-down convergence of near-infrared photonics with silicon substrate-integrated electronics. Optica 8, 1363-1364 (2021). https://doi.org/10.1364/OPTICA.441496

2020

• T.-Y. Huang, J. Zhang, J. Li, and X. Chen. Time-optimal variational control of a bright matter-wave soliton. Physical Review A 102, 053313 (2020). https://doi.org/10.1103/PhysRevA.102.053313

• Y. Wang, Y. Ding, J. Wang, and X. Chen. Digital quantum simulation of nonadiabatic geometric gates via shortcuts to adiabaticity. Entropy 22(10), 1175 (2020). https://doi.org/10.3390/e22101175

• C. Munuera-Javaloy, Y. Ban, X. Chen, and J. Casanova. Robust detection of high-frequency signals at the nanoscale. Physical Review Applied 14, 054054 (2020). https://doi.org/10.1103/PhysRevApplied.14.054054

2022

• ECIO 23rd European Conference on Integrated Optics. Ghulinyan, Mher: A high-index SiON integrated photonic-electronic platform for quantum technologies (oral)

• ECIO 23rd European Conference on Integrated Optics. Bernard, Martino: Monolithic integration of photonic integrated circuits with silicon photodiodes (poster)

• SPIE Photonics Europe 2022. Bernard, Martino: Integrating silicon detectors in a photonic chip (oral)

• SPIE Photonics Europe 2022. Piccoli, Gioele: A silicon oxynitride platform for linear and nonlinear NIR photonics (oral)

2021

• SPIE Optics + Photonics 2021. Walther, Philip: Quantum machine learning, secure quantum computing and other applications using integrated quantum photonics. (invited)

• SPIE Optics + Photonics 2021. Saggio, Valeria: Experimental quantum speed-up in reinforcement learning agents. (oral)

• Nanoinnovation 2021. Saggio, Valeria: Demonstrating quantum speed-ups in reinforcement learning using an integrated photonic processor. (oral)