December 21, 2024
Anton Zeilinger discussing long-distance quantum communication experiments.
Explore more:
- The physics of first-person perspective: an introduction by Dr. Markus Müller: The Nobel Prize in physics in 2022 went the scientists who, for over 40 years, have carried out a series of experiments indicating that, contrary to materialist expectations, physical entities do not have standalone existence but are, in fact, products of observation. This result is extraordinarily relevant to our understanding of the nature of reality, and so Essentia Foundation, in collaboration with the Institute for Quantum Optics and Quantum Information, Vienna, of the Austrian Academy of Sciences (home to Prof. Anton Zeilinger, one of this year’s Nobel Laureates in physics), organized a conference discussing the implications of this result. The conference was hosted by IQOQI-Vienna’s Dr. Markus Müller and featured seven other speakers. In this first video, Dr. Müller introduces the theme of the conference and explains its relevance.
- High-dimensional entanglement for quantum communication : Abstract: Entanglement unlocks many applications in quantum communication, such as the highest possible level of security in quantum key distribution. As photons are inevitably lost or decohered over longer distances, it seems obvious that using the full spectrum of photonic degrees of freedom is desirable. In addition to more encodable bits per photon, entanglement in high dimensions also yields a surprising resistance to noise. This comes at the expense of more complicated measurements that in themselves can contribute to the overall noise in the data, leading to an interesting optimisation. In this talk I will discuss the origin of noise resistance and how it can be practically realised in different photonic implementations using entangled photons.
- "Optimal Information Processing by Susanne Still": In this video, physicist Susan Still connects thermodynamics with machine learning by showing how simple physical arguments can lead to optimal data representation schemes.