Publications
] . “Quantum Information In The Posner Model Of Quantum Cognition”. Annals Of Physics 407. Annals Of Physics (2019): 92 - 147. doi:https://doi.org/10.1016/j.aop.2018.11.016.
. “Equilibration To The Non-Abelian Thermal State In Quantum Many-Body Physics”. Arxiv E-Prints. Arxiv E-Prints (2019): arXiv:1906.09227.
. “Fundamental Limitations On Photoisomerization From Thermodynamic Resource Theories”. Arxiv E-Prints. Arxiv E-Prints (2018): arXiv:1811.06551.
. “Periodic Cavity State Revivals From Atomic Frequency Combs”. Phys. Rev. Lett 127. Phys. Rev. Lett (2021): 180402. doi:10.1103/PhysRevLett.127.180402.
. “Photon-Photon Interactions In {R}Ydberg-Atom Arrays”. Quantum 6, no. 2521-327X. Quantum (2022). doi:10.22331/q-2022-03-30-674.
. “Transport Of Quantum Excitations Via Local And Nonlocal Fluctuations”. Physical Review A 91. Physical Review A (2015). doi:10.1103/PhysRevA.91.052101.
. “Sympathetic Cooling And Slowing Of Molecules With Rydberg Atoms”. Phys. Rev. Lett 132, no. 3. Phys. Rev. Lett (2024). doi:10.1103/PhysRevLett.132.033001.
. “Self-Bound Droplet Clusters In Laser-Driven Bose-Einstein Condensates”. Phys. Rev. A 103, no. 2. Phys. Rev. A (2021): 023308. doi:10.1103/PhysRevA.103.023308.
. “Quantifying Many-Body Learning Far From Equilibrium With Representation Learning”. Arxiv E-Prints. Arxiv E-Prints (2020): arXiv:2001.03623.
. “Machine Learning Outperforms Thermodynamics In Measuring How Well A Many-Body System Learns A Drive”. Scientific Reports 11. Scientific Reports (2021): 9333. doi:10.1038/s41598-021-88311-7.
. “Learning About Learning By Many-Body Systems”. Arxiv E-Prints. Arxiv E-Prints (2020): arXiv:2004.03604.
. “Uncertainty Of Prebiotic Scenarios: The Case Of The Non-Enzymatic Reverse Tricarboxylic Acid Cycle”. Scientific Reports 5. Scientific Reports (2015). doi:10.1038/srep08009.
