Lifeboat Foundation

Quantum computers use the fundamentals of quantum mechanics to potentially speed up the process of solving complex computations. Suppose you need to perform the task of searching for a specific number in a phone book. A classical computer will search each line of the phone book until it finds a match. A quantum computer could search the entire phone book at the same time by assessing each line simultaneously and return a result much faster.

If you’ve ever worked with a virtualized computer, or played a video game ROM from a long-defunct console on your new PC, you understand the concept already: a mind is simply software, and the brain, the hardware it runs on. Imagine a day when your neurons, the matter that forms your mind, are transferred to a machine and their counterparts in your skull are disabled.

Are you still you? Imagine a future of mind uploading, whole-brain emulation, and the full understanding of the connectome. Now, imagine neuroscientists even discover a way to resurrect the dead, to upload the mind of those who have gone before, our ancestors, Socrates, Einstein?

In a paper published in Plos One in early December, scientists detailed how they were able to elicit a pattern similar to the living condition of the brain when exposing dead brain tissue to chemical and electrical probes. Authors Nicolas Rouleau, Nirosha J. Murugan, Lucas W. E. Tessaro, Justin N. Costa, and Michael A. Persinger (the same Persinger of the God-Helmet studies) wrote about this breakthrough.

Quantum mechanics is one of the most successful theories of natural science, and although its predictions are often counterintuitive, not a single experiment has been conducted to date of which the theory has not been able to give an adequate description.

Along with colleagues at bigQ (Center for Macroscopic Quantum States—a Danish National Research Foundation Center of Excellence), center leader Prof. Ulrik Lund Andersen is working on understanding and utilizing macroscopic quantum effects.

“The prevailing view among researchers is that quantum mechanics is a universally valid theory and therefore also applicable in the macroscopic day-to-day world we normally live in. This also means that it should be possible to observe quantum phenomena on a large scale, and this is precisely what we strive to do in the Danish National Research Foundation Center of Excellence bigQ,” says Lund Andersen.

The universe is getting messy. Like a glass shattering to pieces or a single wave crashing onto the shore, the universe’s messiness can only move in one direction – toward more chaos and disorder. But scientists think that, at least for a single electron or the simplest quantum computer, they may be able to turn back time, and restore order to chaos. This doesn’t mean we’ll be visiting with dinosaurs or Napoleon any time soon, but for physicists, the idea that time can run backward at all is still a pretty big deal.

Normally, the universe’s trend toward disorder is a fundamental law: the second law of thermodynamics. It says more formally that any system can only move from more to less ordered, and that the chaos or disorder of a system – its entropy – can never decrease. But an international team of scientists led by researchers at the Moscow Institute of Physics and Technology think they may have discovered a loophole.

Quantum simulation plays an irreplaceable role in diverse fields, beyond the scope of classical computers. In a recent study, Keren Li and an interdisciplinary research team at the Center for Quantum Computing, Quantum Science and Engineering and the Department of Physics and Astronomy in China, U.S. Germany and Canada. Experimentally simulated spin-network states by simulating quantum spacetime tetrahedra on a four-qubit nuclear magnetic resonance (NMR) quantum simulator. The experimental fidelity was above 95 percent. The research team used the quantum tetrahedra prepared by nuclear magnetic resonance to simulate a two-dimensional (2-D) spinfoam vertex (model) amplitude, and display local dynamics of quantum spacetime. Li et al. measured the geometric properties of the corresponding quantum tetrahedra to simulate their interactions. The experimental work is an initial attempt and a basic module to represent the Feynman diagram vertex in the spinfoam formulation, to study loop quantum gravity (LQG) using quantum information processing. The results are now available on Communication Physics.

Classical computers cannot study large quantum systems despite successful simulations of a variety of physical systems. The systematic constraints of classical computers occurred when the linear growth of quantum system sizes corresponded to the exponential growth of the Hilbert Space, a mathematical foundation of quantum mechanics. Quantum physicists aim to overcome the issue using quantum computers that process information intrinsically or quantum-mechanically to outperform their classical counterparts exponentially. In 1982, Physicist Richard Feynman defined quantum computers as quantum systems that can be controlled to mimic or simulate the behaviour or properties of relatively less accessible quantum systems.

In the present work, Li et al. used nuclear magnetic resonance (NMR) with a high controllable performance on the quantum system to develop simulation methods. The strategy facilitated the presentation of quantum geometries of space and spacetime based on the analogies between nuclear spin states in NMR samples and spin-network states in quantum gravity. Quantum gravity aims to unite the Einstein gravity with quantum mechanics to expand our understanding of gravity to the Planck scale (1.22 × 10¹⁹ GeV). At the Planck scale (magnitudes of space, time and energy) Einstein gravity and the continuum of spacetime breakdown can be replaced via quantum spacetime. Research approaches toward understanding quantum spacetimes are presently rooted in spin networks (a graph of lines and nodes to represent the quantum state of space at a certain point in time), which are an important, non-perturbative framework of quantum gravity.

Some researchers continue to insist that simulating neuroscience with computers is the way to go. Others, like me, view these efforts as doomed to failure because we do not believe consciousness is computable. Our basic argument is that brains integrate and compress multiple components of an experience, including sight and smell – which simply can’t be handled in the way today’s computers sense, process and store data.

Brains don’t operate like computers

Living organisms store experiences in their brains by adapting neural connections in an active process between the subject and the environment. By contrast, a computer records data in short-term and long-term memory blocks. That difference means the brain’s information handling must also be different from how computers work.

An international team of scientists from Australia, Japan and the United States has produced a prototype of a large-scale quantum processor made of laser light.

Based on a design ten years in the making, the processor has built-in scalability that allows the number of quantum components—made out of light—to scale to extreme numbers. The research was published in Science today.

Quantum computers promise fast solutions to hard problems, but to do this they require a large number of quantum components and must be relatively error free. Current quantum processors are still small and prone to errors. This new design provides an alternative solution, using light, to reach the scale required to eventually outperform classical computers on important problems.

While playing a game, monkeys switched strategies each round, while humans stuck to a set of inefficient rules.

Topological insulators are innovative materials that conduct electricity on the surface, but act as insulators on the inside. Physicists at the University of Basel and the Istanbul Technical University have begun investigating how they react to friction. Their experiment shows that the heat generated through friction is significantly lower than in conventional materials. This is due to a new quantum mechanism, the researchers report in the scientific journal Nature Materials.

Thanks to their unique electrical properties, topological insulators promise many innovations in the electronics and computer industries, as well as in the development of quantum computers. The thin surface layer can conduct electricity almost without resistance, resulting in less heat than traditional materials. This makes them of particular interest for electronic components.

“Our measurements clearly show that at certain voltages there is virtually no heat generation caused by electronic friction.” — Dr. Dilek Yildiz