Lifeboat Foundation

Quantum computing and simulations are creating transformative opportunities by exploiting the principles of quantum mechanics in new ways to generate and process information. It is expected that a variety of areas ranging from day-to-day activities to making advanced scientific discoveries are going to benefit from such computations. Several early stage applications of quantum computing and simulation have already been demonstrated, and these preliminary results show that quantum computing and simulations could significantly accelerate the deployment of new technologies urgently needed to meet the growing demand for energy while safeguarding the environment.

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 materials science. 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 computer data storage and memory technologies, and the discovery opened for new and more sustainable solutions 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.

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 […]…

In the last decade, we have witnessed biology bring us some incredible products and technologies: from mushroom-based packaging to animal-free hotdogs and mRNA vaccines that helped curb a global pandemic. The power of synthetic biology to transform our world cannot be overstated: this industry is projected to contribute to as much as a third of the global economic output by 2030, or nearly $30 trillion, and could impact almost every area of our lives, from the food we eat to the medicine we put in our bodies.

The leaders of this unstoppable bio revolution – many of whom you can meet at the SynBioBeta conference in Oakland, CA, on May 23–25 – are bringing the future closer every day through their ambitious vision, long-range strategy, and proactive oversight. These ten powerful women are shaping our world as company leaders, biosecurity experts, policymakers, and philanthropists focused on charting a new course to a more sustainable, equitable, clean, and safe future.

As an early pioneer in the high-throughput synthesis and sequencing of DNA, Emily Leproust has dedicated her life to democratizing gene synthesis to catapult the growth of synthetic biology applications from medicine, food, agriculture, and industrial chemicals to DNA data storage. She was one of the co-founders of Twist Bioscience in 2013 and is still leading the expanding company as CEO. To say that Twist’s silicon platform was a game-changer for the industry is an understatement. And it is no surprise that Leproust was recently honored with the BIO Rosalind Franklin Award for her work in the biobased economy and biotech innovation.

As long as people have been alive, they’ve wanted to stay alive. But unlike finding the fountain of youth or becoming a vampire, uploading your brain to a computer or the cloud might actually be possible. Theoretically, we already know how to do it, and Elon Musk is even trying a brain implant with Neuralink. But technically, we have a long way to go. We explain the main technological advancements that we’ll need to make whole brain emulation a reality.

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Continue reading “What It’ll Take To Upload Our Brains To A Computer” »

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.

Some classical computers have error correction built into their memories based on bits; quantum computers, to be workable in the future, will need error correction mechanisms, too, based on the vastly more sensitive qubits.

Cornell researchers have recently taken a step toward fault-tolerant quantum computing: they constructed a simple model containing exotic particles called non-Abelian anyons, compact and practical enough to run on modern quantum hardware. Realizing these particles, which can only exist in two dimensions, is a move towards implementing it in the real world.

Thanks to some creative thinking, Yuri Lensky, a former Bethe/Wilkins/Kavli Institute at Cornell (KIC) postdoctoral fellow in physics in the College of Arts and Sciences (A&S), collaborating with Eun-Ah Kim, professor of physics (A&S), came up with a simple “recipe” that could be used for robustly computing with non-Abelian anyons, including specific instructions for executing the effect experimentally on devices available today.

Hoping to improve on those earlier efforts, Matthew Daugherty, a biochemist at the University of California San Diego, and colleagues used sophisticated computer software to trace the evolution of hundreds of human genes by searching for similar sequences in hundreds of other species. Genes that seemed to have appeared first in vertebrates and had no predecessors in earlier animals were good candidates for having jumped across from bacteria, particularly if they had counterparts in modern microbes. Among the dozens of potentially alien genes, one “blew me away,” Daugherty recalls.

The gene, called IRBP (for interphotoreceptor retinoid-binding protein), was already known to be important for seeing. The protein it encodes resides in the space between the retina and the retinal pigment epithelium, a thin layer of cells overlying the retina. In the vertebrate eye, when light hits a light-sensitive photoreceptor in the retina, vitamin A complexes become kinked, setting off an electrical pulse that activates the optic nerve. IRBP then shifts these molecules to the epithelium to be unkinked. Finally, it shuttles the restored molecules back to the photoreceptor. “IRBP,” Zhu explains, “is essential for the vision of all vertebrates.”

Vertebrate IRBP most closely resembles a class of bacterial genes called pepsidases, whose proteins recycle other proteins. Since IRBP is found in all vertebrates but generally not in their closest invertebrate relatives, Daugherty and his colleagues propose that more than 500 million years ago microbes transferred a pepsidase gene into an ancestor of all living vertebrates. Once the gene was in place, the protein’s recycling function was lost and the gene duplicated itself twice, explaining why IRBP has four copies of the original pepsidase DNA. Even in its microbial forebears, this protein may have had some ability to bind to light-sensing molecules, Daugherty suggests. Other mutations then completed its transformation into a molecule that could escape from cells and serve as a shuttle.