Create a prototype of an efficient aircraft capable of flying with ion propulsion. This is the aim of the IPROP project, led by Politecnico di Milano, and funded by the EU with an EIC pathfinder worth €3 million and lasting four years.
We investigate the properties of a quantum walk which can simulate the behavior of a spin 1/2 particle in a model with an ordinary spatial dimension, and one extra dimension with warped geometry between two branes. Such a setup constitutes a \(1+1\) dimensional version of the Randall–Sundrum model, which plays an important role in high energy physics. In the continuum spacetime limit, the quantum walk reproduces the Dirac equation corresponding to the model, which allows to anticipate some of the properties that can be reproduced by the quantum walk. In particular, we observe that the probability distribution becomes, at large time steps, concentrated near the “low energy” brane, and can be approximated as the lowest eigenstate of the continuum Hamiltonian that is compatible with the symmetries of the model. In this way, we obtain a localization effect whose strength is controlled by a warp coefficient. In other words, here localization arises from the geometry of the model, at variance with the usual effect that is originated from random irregularities, as in Anderson localization. In summary, we establish an interesting correspondence between a high energy physics model and localization in quantum walks.
Anglés-Castillo, A., Pérez, A. A quantum walk simulation of extra dimensions with warped geometry. Sci Rep 12, 1926 (2022). https://doi.org/10.1038/s41598-022-05673-2
DARPA seeks to revolutionize the practice of anti-money laundering through its A3ML program. A3ML aims to develop algorithms to sift through financial transactions graphs for suspicious patterns, learn new patterns to anticipate future activities, and develop techniques to represent patterns of illicit financial behavior in a concise, machine-readable format that is also easily understood by human analysts. The program’s success hinges on algorithms’ ability to learn a precise representation of how bad actors move money around the world without sharing sensitive data.
DARPA wants to eliminate global money laundering by replacing the current manual, reactive, and expensive analytic practices with agile, algorithmic methods.
Money laundering directly harms American citizens and global interests. Half of North Korea’s nuclear program is funded by laundered funds, according to statements by the White House1, while a federal indictment alleges that money launderers tied to Chinese underground banking are a primary source of financial services for Mexico’s Sinaloa cartel 2.
Despite recent anti-money laundering efforts, the United States (U.S.) still faces challenges in countering money laundering effectively for several reasons. According to Congressional research, money laundering schemes often evade detection and disruption, as anti-money laundering (AML) efforts today rely on manual analysis of large amounts of data and are limited by finite resources and human cognitive processing speed3.
A balance of infection and harmony called endosymbiosis helps shape evolution. For the first time, biologists have reproduced this arrangement between microbes in a lab.
So much of life relies on endosymbiotic relationships, but scientists have struggled to understand how they happen. How does an internalized cell evade digestion? How does it learn to reproduce inside its host? What makes a random merger of two independent organisms into a stable, lasting partnership?
Now, for the first time, researchers have watched the opening choreography of this microscopic dance by inducing endosymbiosis in the lab(opens a new tab). After injecting bacteria into a fungus — a process that required creative problem-solving (and a bicycle pump) — the researchers managed to spark cooperation without killing the bacteria or the host. Their observations offer a glimpse into the conditions that make it possible for the same thing to happen in the microbial wild.
Evolution was fueled by endosymbiosis, cellular alliances in which one microbe makes a permanent home inside another. For the first time, biologists made it happen in the lab.
Today the World Health Organization (WHO) says no region in the world has successfully eliminated measles, and cases have surged in the past year, with 10.3 million people infected in 2023.
The WHO published its findings in a report in Morbidity and Mortality Weekly Report.
Over a decade after its discovery, the Higgs boson, often referred to as the “God particle,” continues to captivate physicists and deepen our understanding of the universe. Recent findings from the Max Planck Institute promise to unravel even more about this enigmatic particle, potentially opening doors to uncharted realms of particle physics.
The Higgs boson is a cornerstone of the Standard Model of particle physics, responsible for answering one of the universe’s most fundamental questions: how do particles gain mass? This phenomenon hinges on the Higgs field, an invisible energy field that permeates the cosmos. To visualize this, imagine wading through a pool filled with water versus thick foam. While water might let you glide, the foam slows you down—this interaction mirrors how particles gain mass as they traverse the Higgs field. Without it, the building blocks of matter as we know them couldn’t exist.
Why Understanding Higgs Interactions Matters?
This article examines Microsoft and Atom Computing in driving quantum computing to logical practicality, focusing on applications.
Displays of aurora are being predicted once again after a string of powerful solar flares on the sun.
AUSTIN, Texas — An Austin entrepreneur is making waves in the world of Artificial Intelligence (AI) by setting his sights on Artificial General Intelligence (AGI). AGI is a type of AI that aims to create machines with human-like learning and reasoning abilities.
“In 2002, together with two other people, I coined the term Artificial General Intelligence.” Founder and CEO of Aigo.ai said.
Voss says that was always the original goal of AI to build thinking machines.
Tomiko Itooka, a Japanese woman who was the world’s oldest person according to Guinness World Records, has died, an Ashiya city official said Saturday. She was 116.
Yoshitsugu Nagata, an official in charge of elderly policies, said Itooka died on December 29 at a care home in Ashiya, Hyogo Prefecture, central Japan.
Itooka, who loved bananas and a yogurt-flavored Japanese drink called Calpis, was born on May 23, 1908. She became the oldest person last year following the death of 117-year-old Maria Branyas, according to the Gerontology Research Group.