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Are we alone in the universe? Are there other technological civilizations out there and how can we find them? This is what a recent preprint submitted to The Astronomical Journal hopes to address as a team of researchers led by Penn State University investigated new methods for detecting radio signals from extraterrestrial technological civilizations (ETIs). This study holds the potential to help researchers better understand and develop more efficient methods for detecting radio signals from ETIs and how we can continue to improve these methods.

For the study, instead of attempting to detect radio signals directed at Earth from an ETI, the researchers focused on radio signals that could potentially be traveling between planets, known as planet-planet occultations (PPOs). The team tested this method on the TRAPPIST-1 system, which boasts seven approximate Earth-sized worlds, and at least three orbiting within its star’s habitable zone (HZ). After using computer models to estimate the number of potential PPOs that could be found within the system, the researchers used the Allen Telescope Array (ATA) to scan the TRAPPIST-1 system for 28 hours with the goal of detecting radio signals emanating from ETIs. In the end, the researchers detected no signals, but this study opens the door for better understanding how to develop and improve methods for detecting ETI radio signals.

“This research shows that we are getting closer to technology and methods that could detect radio signals similar to the ones we send into space,” said Nick Tusay, who is a PhD student in the Department of Astronomy and Astrophysics at Penn State and lead author of the study. “Most searches assume a powerful signal, like a beacon intended to reach distant planets, because our receivers have a sensitivity limit to a minimum transmitter power beyond anything we unintentionally send out. But, with better equipment, like the upcoming Square Kilometer Array, we might soon be able to detect signals from an alien civilization communicating with its spacecraft.”

A major challenge in realizing quantum computers is the development of quantum error correction technology. This technology offers a solution for addressing errors that occur in the qubit, the basic unit of quantum computation, and prevents them from being amplified during the computation.

Thin-film lithium niobate is an emerging nonlinear integrated photonics platform ideally suited for quantum applications. Through spontaneous parametric down-conversion (SPDC), it can generate correlated photon pairs for quantum key distribution, teleportation, and computing.

7 linux distributions that feel just like windows.


I often think of Windows 10 as “Windows 8.1 done right”, and Windows 11 as a natural evolution of that refinement, with plenty of improvements under the hood.

However, considering that Windows is still a closed, commercial platform, many users with concerns about privacy or dissatisfaction with Windows 11 may continue to seek alternative operating systems that offer more control while providing a similar experience to the Windows GUI.

In this article, we’ve picked best Linux distributions that offer the best possible Windows-like desktop experience on Linux. Whether you’re transitioning from Windows or just prefer a similar look and feel, these distros are designed to make the switch easy and seamless.

Biological components are less reliable than electrical ones, and rather than instantaneously receive the incoming signals, the signals arrive with a variety of delays. This forces the brain to cope with said delays by having each neuron integrate the incoming signals over time and fire afterwards, as well as using a population of neurons, instead of one, to overcome neuronal cells that temporarily don’t fire.

Programmable quantum computers have the potential to efficiently simulate increasingly complex molecular structures, electronic structures, chemical reactions, and quantum mechanical states in chemistry that classical computers cannot. As the molecule’s size and complexity increase, so do the computational resources required to model it.