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The discovery of new quantum materials with magnetic properties could pave the way for ultra-fast and considerably more energy-efficient computers and mobile devices. So far, these types of materials have been shown to work only in extremely cold temperatures. Now, a research team at Chalmers University of Technology in Sweden are the first to make a device made of a two-dimensional magnetic quantum material work in room temperature.

Today’s rapid IT expansion generates enormous amounts of digital data that needs to be stored, processed, and communicated. This comes with an ever-increasing need for energy—projected to consume more than 30% of the world’s total energy consumption by 2050. To combat the problem, the research community has entered a new paradigm in . The research and development of two-dimensional quantum materials, that form in sheets and are only a few atoms thick, have opened new doors for sustainable, faster and more energy-efficient data storage and processing in computers and mobiles.

The first atomically thin material to be isolated in a laboratory was graphene, a single atom-thick plane of graphite, that resulted in the 2010 Nobel Prize in Physics. And in 2017, two-dimensional materials with magnetic properties were discovered for the first time. Magnets play a fundamental role in our everyday lives, from sensors in our cars and home appliances to and memory technologies, and the discovery opened for new and more for a wide range of technology devices.

This paper presents a relevant contribution towards an effective and convenient “Science 2.0” universal computational framework to achieve deeper cognitive intelligence at your fingertips and beyond. Computational information conservation theory CICT can help us to develop competitive applications and even advanced quantum cognitive computational application and systems towards deep computational cognitive intelligence. CICT new awareness of a discrete HG hyperbolic geometry subspace reciprocal space, RS of coded heterogeneous hyperbolic structures, underlying the familiar Q Euclidean direct space, DS system surface representation can open the way to holographic information geometry HIG to recover lost coherence information in system description and to develop advanced quantum cognitive systems. This paper is a relevant contribution towards an effective and convenient “Science 2.0” unive.

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Hello and welcome! My name is Anton and in this video, we will talk about the suggestion that horizons from black holes and the expansion of the universe cause the quantum collapse into reality.
Links:
https://arxiv.org/pdf/2301.00026.pdf.
#quantumphysics #blackhole #universe.

0:00 What this study is trying to solve.
2:05 Applying Einstein principles to Quantum Physics.
4:00 Do black holes server as observers?
5:00 What about the edge of the universe?
6:45 Does this prove universe is conscious? (no)

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Noisy intermediate-scale quantum algorithms, which run on noisy quantum computers, should be carefully designed to boost the output state fidelity. While several compilation approaches have been proposed to minimize circuit errors, they often omit the detailed circuit structure information that does not affect the circuit depth or the gate count. In the presence of spatial […]…

Humongous Fungus, a specimen of Armillaria ostoyae, has claimed the title of world’s largest single organism. Though it features honey mushrooms above ground, the bulk of this creature’s mass arises from its vast subterranean mycelial network of filamentous tendrils. It has spread across more than 2,000 acres of soil and weighs over 30,000 metric tons. Yet I would contend that Humongous Fungus represents a mere microcosm of the world’s true largest organism, a creature that I will call Cyborg Earth. What is Cyborg Earth? Eastern religions have suggested that all life is fundamentally interconnected. Cyborg Earth represents an extension of this concept.

All across the globe, biological life thrives. Quintillions upon quintillions of biomolecular computations happen every second, powering all life. Mycoplasma bacteria. Communities of leafcutter ants. The Humongous Fungus. Beloved beagles. Seasonal influenza viruses. Parasitic roundworms. Families of Canadian elk. Vast blooms of cyanobacteria. Humanity. Life works because of complexity that arises from simplicity that in turn arises from whatever inscrutable quantum mechanical rules lay beneath the molecular scale.

All creatures rearrange atoms in various ways. Termites and beavers rearrange larger bunches of atoms than most organisms. As humans progressed from paleolithic to metalwork to industrialization and then to the space age, information revolution, and era of artificial intelligence, they learned to converse with the atoms around them in an ever more complex fashion. We are actors in an operatic performance, we are subroutines of evolution, we are interwoven matryoshka patterns, an epic chemistry.

Shortly after Max Planck shook the scientific world with ideas about the fundamental quantization of energy, researchers built and leveraged theories of quantum mechanics to resolve physical phenomena that had previously been unexplainable, including the behavior of heat in solids and light absorption on an atomic level. In the 120-plus years since, researchers have looked beyond physics and used quantum theory’s same perplexing — even “spooky,” according to Einstein — laws to solve inexplicable phenomena in a variety of other disciplines.

Today, researchers at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, are applying quantum mechanics to biology to better understand of one of nature’s biggest mysteries — magnetosensitivity, an organism’s ability to sense Earth’s magnetic field and use it as a tool to adjust some biological processes. And they’ve found some surprising results.

In a recent study, APL research engineer and scientist Carlos Martino and his APL colleagues Nam Le, Michael Salerno, Janna Domenico, Christopher Stiles, Megan Hannegan, and Ryan McQuillen, along with Ilia Solov’yov from the Carl von Ossietzky University of Oldenburg in Germany, found that an enzyme that plays a central role in human metabolism has some of the same key features as a magnetically sensitive protein found in birds.

Exciting.


The search for the chemical origins of life represents a long-standing and continuously debated enigma. Despite its exceptional complexity, in the last decades the field has experienced a revival, also owing to the exponential growth of the computing power allowing for efficiently simulating the behavior of matter—including its quantum nature—under disparate conditions found, e.g., on the primordial Earth and on Earth-like planetary systems (i.e., exoplanets). In this minireview, we focus on some advanced computational methods capable of efficiently solving the Schrödinger equation at different levels of approximation (i.e., density functional theory)—such as ab initio molecular dynamics—and which are capable to realistically simulate the behavior of matter under the action of energy sources available in prebiotic contexts.