Lifeboat Foundation

Investors are always looking for the next great breakthrough in technology. As computers are indispensable tools for managing everything from finance to healthcare and smart cities, it only makes sense to look at the next stage of development and A-rated quantum computing stocks.

Quantum computing is still in its early stages, but companies are already making inroads. Zapata surveyed executives at 300 companies with revenues of $250 million and computing budgets over $1 million. Of those, over two-thirds spent more than $1 million annually to develop quantum computing applications.

Quantum computer stocks represent companies trying to revolutionize cryptography, optimization, drug discovery and artificial intelligence. It holds promise for solving complex problems currently infeasible for classical computers due to their exponential time requirements.

New process returns original quantum entanglement after certifying it, removing onerous “trusted source” requirement.

For a magnet to stick to a fridge door, several physical effects inside of it need to work together perfectly. The magnetic moments of its electrons all point in the same direction, even if no external magnetic field forces them to do so.

This happens because of the so-called exchange interaction, a combination of electrostatic repulsion between electrons and quantum mechanical effects of the electron spins, which, in turn, are responsible for the magnetic moments. This is a common explanation for the fact that certain materials like iron or nickel are ferromagnetic or permanently magnetic, as long as one does not heat them above a particular temperature.

At ETH in Zurich, a team of researchers led by Ataç Imamoğlu at the Institute for Quantum Electronics and Eugene Demler at the Institute for Theoretical Physics have now detected a new type of ferromagnetism in an artificially produced material, in which the alignment of the magnetic moments comes about in a completely different way. They recently published their results in the journal Nature.

In 1973, physicist Phil Anderson hypothesized that the quantum spin liquid, or QSL, state existed on some triangular lattices, but he lacked the tools to delve deeper. Fifty years later, a team led by researchers associated with the Quantum Science Center headquartered at the Department of Energy’s Oak Ridge National Laboratory has confirmed the presence of QSL behavior in a new material with this structure, KYbSe₂.

QSLs—an unusual state of matter controlled by interactions among entangled, or intrinsically linked, magnetic atoms called spins—excel at stabilizing quantum mechanical activity in KYbSe₂ and other delafossites. These materials are prized for their layered triangular lattices and promising properties that could contribute to the construction of high-quality superconductors and quantum computing components.

The paper, published in Nature Physics, features researchers from ORNL; Lawrence Berkeley National Laboratory; Los Alamos National Laboratory; SLAC National Accelerator Laboratory; the University of Tennessee, Knoxville; the University of Missouri; the University of Minnesota; Stanford University; and the Rosario Physics Institute.

For the first time in space, scientists have produced a mixture of two quantum gases made of two types of atoms. Accomplished with NASA’s Cold Atom Laboratory aboard the International Space Station, the achievement marks another step toward bringing quantum technologies currently available only on Earth into space.

Physicists at Leibniz University Hannover (LUH), part of a collaboration led by Prof. Nicholas Bigelow, University of Rochester, provided the theoretical calculations necessary for this achievement. While quantum tools are already used in everything from cell phones to GPS to medical devices, in the future, quantum tools could be used to enhance the study of planets, including our own, as well as to help solve mysteries of the universe and deepen our understanding of the fundamental laws of nature.

The new work, performed remotely by scientists on Earth, is described in Nature.

Researchers created a quantum gas containing two types of atoms on the ISS, in a first for space-based research.

While physics tells us that information can neither be created nor destroyed (if information could be created or destroyed, then the entire raison d’etre of physics, that is to predict future events or identify the causes of existing situations, would be impossible), it does not demand that the information be accessible. For decades physicists assumed that the information that fell into a black hole is still there, still existing, just locked away from view.

This was fine, until the 1970s when Stephen Hawking discovered the secret complexities of the event horizon. It turns out that these dark beasts were not as simple as we had been led to believe, and that the event horizons of black holes are one of the few places in the entire cosmos where gravity meets quantum mechanics in a manifest way.

Continue reading “The origins of the black hole information paradox” »

The human mind is by far one of the most amazing natural phenomena known to man. It embodies our perception of reality, and is in that respect the ultimate observer. The past century produced monumental discoveries regarding the nature of nerve cells, the anatomical connections between nerve cells, the electrophysiological properties of nerve cells, and the molecular biology of nervous tissue. What remains to be uncovered is that essential something – the fundamental dynamic mechanism by which all these well understood biophysical elements combine to form a mental state. In this chapter, we further develop the concept of an intraneuronal matrix as the basis for autonomous, self–organized neural computing, bearing in mind that at this stage such models are speculative. The intraneuronal matrix – composed of microtubules, actin filaments, and cross–linking, adaptor, and scaffolding proteins – is envisioned to be an intraneuronal computational network, which operates in conjunction with traditional neural membrane computational mechanisms to provide vastly enhanced computational power to individual neurons as well as to larger neural networks. Both classical and quantum mechanical physical principles may contribute to the ability of these matrices of cytoskeletal proteins to perform computations that regulate synaptic efficacy and neural response. A scientifically plausible route for controlling synaptic efficacy is through the regulation of neural transport of synaptic proteins and of mRNA. Operations within the matrix of cytoskeletal proteins that have applications to learning, memory, perception, and consciousness, and conceptual models implementing classical and quantum mechanical physics are discussed. Nanoneuroscience methods are emerging that are capable of testing aspects of these conceptual models, both theoretically and experimentally. Incorporating intra–neuronal biophysical operations into existing theoretical frameworks of single neuron and neural network function stands to enhance existing models of neurocognition.

As we learned in middle school science classes, inside this common variety of greens—and most other plants—are intricate circuits of biological machinery that perform the task of converting sunlight into usable energy. Or photosynthesis. These processes keep plants alive. Boston University researchers have a vision for how they could also be harnessed into programmable units that would enable scientists to construct the first practical quantum computer.

A quantum computer would be able to perform calculations much faster than the classical computers that we use today. The laptop sitting on your desk is built on units that can represent 0 or 1, but never both or a combination of those states at the same time. While a classical computer can run only one analysis at a time, a quantum computer could run a billion or more versions of the same equation at the same time, increasing the ability of computers to better model extremely complex systems—like weather patterns or how cancer will spread through tissue—and speeding up how quickly huge datasets can be analyzed.

The idea of using photosynthetic molecules from, say, a spinach leaf to power quantum computing services might sound like science fiction. It’s not. It is “on the fringe of possibilities,” says David Coker, a College of Arts & Sciences professor of chemistry and a College of Engineering professor of materials science and engineering. Coker and collaborators at BU and Princeton University are using computer simulations and experiments to provide proof-of-concepts that photosynthetic circuits could unlock new technological capabilities. Their work is showing promising early results.