Menu

Blog

Archive for the ‘mapping’ category: Page 10

Apr 18, 2023

Room-temperature superfluidity in a polariton condensate Physics

Posted by in categories: energy, information science, mapping, mathematics, quantum physics, space

face_with_colon_three year 2017.


First observed in liquid helium below the lambda point, superfluidity manifests itself in a number of fascinating ways. In the superfluid phase, helium can creep up along the walls of a container, boil without bubbles, or even flow without friction around obstacles. As early as 1938, Fritz London suggested a link between superfluidity and Bose–Einstein condensation (BEC)3. Indeed, superfluidity is now known to be related to the finite amount of energy needed to create collective excitations in the quantum liquid4,5,6,7, and the link proposed by London was further evidenced by the observation of superfluidity in ultracold atomic BECs1,8. A quantitative description is given by the Gross–Pitaevskii (GP) equation9,10 (see Methods) and the perturbation theory for elementary excitations developed by Bogoliubov11. First derived for atomic condensates, this theory has since been successfully applied to a variety of systems, and the mathematical framework of the GP equation naturally leads to important analogies between BEC and nonlinear optics12,13,14. Recently, it has been extended to include condensates out of thermal equilibrium, like those composed of interacting photons or bosonic quasiparticles such as microcavity exciton-polaritons and magnons14,15. In particular, for exciton-polaritons, the observation of many-body effects related to condensation and superfluidity such as the excitation of quantized vortices, the formation of metastable currents and the suppression of scattering from potential barriers2,16,17,18,19,20 have shown the rich phenomenology that exists within non-equilibrium condensates. Polaritons are confined to two dimensions and the reduced dimensionality introduces an additional element of interest for the topological ordering mechanism leading to condensation, as recently evidenced in ref. 21. However, until now, such phenomena have mainly been observed in microcavities embedding quantum wells of III–V or II–VI semiconductors. As a result, experiments must be performed at low temperatures (below ∼ 20 K), beyond which excitons autoionize. This is a consequence of the low binding energy typical of Wannier–Mott excitons. Frenkel excitons, which are characteristic of organic semiconductors, possess large binding energies that readily allow for strong light–matter coupling and the formation of polaritons at room temperature. Remarkably, in spite of weaker interactions as compared to inorganic polaritons22, condensation and the spontaneous formation of vortices have also been observed in organic microcavities23,24,25. However, the small polariton–polariton interaction constants, structural inhomogeneity and short lifetimes in these structures have until now prevented the observation of behaviour directly related to the quantum fluid dynamics (such as superfluidity). In this work, we show that superfluidity can indeed be achieved at room temperature and this is, in part, a result of the much larger polariton densities attainable in organic microcavities, which compensate for their weaker nonlinearities.

Our sample consists of an optical microcavity composed of two dielectric mirrors surrounding a thin film of 2,7-Bis[9,9-di(4-methylphenyl)-fluoren-2-yl]-9,9-di(4-methylphenyl)fluorene (TDAF) organic molecules. Light–matter interaction in this system is so strong that it leads to the formation of hybrid light–matter modes (polaritons), with a Rabi energy 2 ΩR ∼ 0.6 eV. A similar structure has been used previously to demonstrate polariton condensation under high-energy non-resonant excitation24. Upon resonant excitation, it allows for the injection and flow of polaritons with a well-defined density, polarization and group velocity.

Continue reading “Room-temperature superfluidity in a polariton condensate Physics” »

Apr 14, 2023

How Our Brain Uses Old Information To Make Decisions

Posted by in categories: mapping, neuroscience

A new study has shown how the brain’s cognitive maps are used and updated for reasoning, allowing us to make decisions in unfamiliar situations.

Apr 13, 2023

PERSPECTIVE: A Practical Framework to Prepare for the Post-Quantum Future

Posted by in categories: mapping, quantum physics

Decide: mapping a path forward

Once you have put your organization in context and understood exposure to risk, the third step is making suggestions toward a response plan.

Mar 31, 2023

How Your Brain Organizes Information

Posted by in categories: computing, mapping, neuroscience

To try everything Brilliant has to offer—free—for a full 30 days, visit http://brilliant.org/ArtemKirsanov/
The first 200 of you will get 20% off Brilliant’s annual premium subscription.

My name is Artem, I’m a computational neuroscience student and researcher. In this video we talk about cognitive maps – internal models of outside world that the brain to generate flexible behavior that is generalized across contexts.

Continue reading “How Your Brain Organizes Information” »

Mar 28, 2023

Amazon has just opened up its Sidewalk network and it’s gigantic

Posted by in category: mapping

The free-to-access IoT network could help bring billions of connected devices online — if you’re willing to share.

Mar 26, 2023

What would we expect with a Partially Quantum Mind-Body System?

Posted by in categories: mapping, neuroscience, quantum physics

One of the largest mysteries of science is that humans have conscious awareness of their complex subjective experiences – or what we call “qualia” – such as being aware of what it’s like to delight in the color of a flower, melt into the comfort of a bed, or to feel sharp pain. Why and how qualia could emerge from physical matter and be a part of the human experience is unknown, and this is called the ‘hard problem’ of consciousness. Related to qualia is the mystery of why humans feel like they have free will, or the ability to intentionally choose and execute actions.

The ‘easy’ problem of consciousness is mapping these mind states to brain states, such as identifying which brain regions are active during a certain experience, such as smelling a flower. Despite advances in classical physics and neuroscience, many aspects of the mind-brain relationship, such as qualia, remain unresolved. New theories of mind are required to address this perennial mystery.

In a new paper, we propose that some aspects of mind are quantum and can play an active role in the physical world, explaining some of the unexplainable.

Mar 24, 2023

AI-powered Google Maps’ immersive view now available for a select few

Posted by in categories: mapping, robotics/AI, sustainability

A few select users will now be able to enjoy Google Maps’ immersive view, according to a blog by the company published last month. The new feature is meant to allow users to reimagine how they explore and navigate, while helping them make more sustainable choices.

“Immersive view is an entirely new way to explore a place — letting you feel like you’re right there, even before you visit. Using advances in AI and computer vision, immersive view fuses billions of Street View and aerial images to create a rich, digital model of the world. And it layers helpful information on top like the weather, traffic, and how busy a place is,” said Chris Phillips, VP & General Manager, Geo, in the blog.

Mar 22, 2023

Place cells: How your brain creates maps of abstract spaces

Posted by in categories: mapping, neuroscience, virtual reality

In this video, we will explore the positional system of the brain — hippocampal place cells. We will see how it relates to contextual memory and mapping of more abstract features.

OUTLINE:
00:00 Introduction.
00:53 Hippocampus.
1:27 Discovery of place cells.
2:56 3D navigation.
3:51 Role of place cells.
4:11 Virtual reality experiment.
7:47 Remapping.
11:17 Mapping of non-spatial dimension.
13:36 Conclusion.

Continue reading “Place cells: How your brain creates maps of abstract spaces” »

Mar 18, 2023

3D holographic televisions are much closer than a galaxy far, far away

Posted by in categories: education, mapping, space

Year 2022 😗😁


For decades we have dreamed of true holographic displays for entertainment, communication, and education. Star Wars had 3D projections rendered in real-time — the definition wasn’t great, but they were communicating across interplanetary distances — and Avatar had holographic maps showcasing the terrain of Pandora. In reality, we mostly have 2D images which show dimension and depth when viewed from different angles. That might be on the verge of changing.

Pierre-Alexandre Blanche from the Wyant College of Optical Sciences at the University of Arizona recently published a paper in Light: Advanced Manufacturing which acts as a roadmap toward true 3D holographic displays.

Continue reading “3D holographic televisions are much closer than a galaxy far, far away” »

Mar 13, 2023

Deep Language Models are getting increasingly better

Posted by in categories: information science, mapping, robotics/AI

Deep learning has made significant strides in text generation, translation, and completion in recent years. Algorithms trained to predict words from their surrounding context have been instrumental in achieving these advancements. However, despite access to vast amounts of training data, deep language models still need help to perform tasks like long story generation, summarization, coherent dialogue, and information retrieval. These models have been shown to need help capturing syntax and semantic properties, and their linguistic understanding needs to be more superficial. Predictive coding theory suggests that the brain of a human makes predictions over multiple timescales and levels of representation across the cortical hierarchy. Although studies have previously shown evidence of speech predictions in the brain, the nature of predicted representations and their temporal scope remain largely unknown. Recently, researchers analyzed the brain signals of 304 individuals listening to short stories and found that enhancing deep language models with long-range and multi-level predictions improved brain mapping.

The results of this study revealed a hierarchical organization of language predictions in the cortex. These findings align with predictive coding theory, which suggests that the brain makes predictions over multiple levels and timescales of expression. Researchers can bridge the gap between human language processing and deep learning algorithms by incorporating these ideas into deep language models.

The current study evaluated specific hypotheses of predictive coding theory by examining whether cortical hierarchy predicts several levels of representations, spanning multiple timescales, beyond the neighborhood and word-level predictions usually learned in deep language algorithms. Modern deep language models and the brain activity of 304 people listening to spoken tales were compared. It was discovered that the activations of deep language algorithms supplemented with long-range and high-level predictions best describe brain activity.

Page 10 of 43First7891011121314Last