Lifeboat Foundation

Artificial intelligence algorithms, fueled by continuous technological development and increased computing power, have proven effective across a variety of tasks. Concurrently, quantum computers have shown promise in solving problems beyond the reach of classical computers. These advancements have contributed to a misconception that quantum computers enable hypercomputation, sparking speculation about quantum supremacy leading to an intelligence explosion and the creation of superintelligent agents. We challenge this notion, arguing that current evidence does not support the idea that quantum technologies enable hypercomputation. Fundamental limitations on information storage within finite spaces and the accessibility of information from quantum states constrain quantum computers from surpassing the Turing computing barrier.

“Surfaces were invented by the devil” — this quote is attributed to the theoretical physicist Wolfgang Pauli, who taught at ETH Zurich for many years and in 1945 received the Nobel Prize in physics for his contributions to quantum mechanics. Researchers do, indeed, struggle with surfaces. On the one hand they are extremely important both in animate and inanimate nature, but on the other hand it can be devilishly difficult to study them with conventional methods.

An interdisciplinary team of materials scientists and electrical engineers led by Lukas Novotny, Professor of Photonics at ETH Zurich, together with colleagues at Humboldt-Universität zu Berlin has now developed a method that will make the characterization of surfaces considerably easier in the future.

They recently published the results of their research, which is based on an extremely thin gold membrane, in the scientific journal Nature Communications (“Bulk-suppressed and surface-sensitive Raman scattering by transferable plasmonic membranes with irregular slot-shaped nanopores”).

Researchers at the University of Vienna led by Philip Walther just pioneered the field of quantum mechanics and general relativity by measuring “the effect of the rotation of Earth on quantum entangled photons,” as stated in a press release.

In the Vienna experiment, they used an interferometer, which is the most sensitive to rotations. Its unparalleled precision makes it the ultimate tool for measuring rotational speeds, limited only by the boundaries of classical physics.

Pasqal reported the successful loading of over 1,000 atoms in a single shot within their quantum computing setup.

The result is a significant advancement in the field, showcasing the practical applicability of quantum computing in solving complex material science problems. Furthermore, the researchers discovered factors that can improve the durability and energy efficiency of quantum memory devices. The findings have been published in Nature Communications.

In the early 1980s, Richard Feynman asked whether it was possible to model nature accurately using a classical computer. His answer was: no. The world consists of fundamental particles, described by the principles of quantum physics. The exponential growth of the variables that must be included in the calculations pushes even the most powerful supercomputers to their limits. Instead, Feynman suggested using a computer that was itself made up of quantum particles. With his vision, Feynman is considered by many to be the Father of Quantum Computing.

Scientists at Forschungszentrum Jülich, together with colleagues from Slovenian institutions, have now shown that this vision can actually be put into practice. The application they are looking at is a so-called many-body system. Such systems describe the behavior of a large number of particles that interact with each other.

A new theory of quantum gravity, which attempts to unite quantum physics with Einstein’s relativity, could help solve the puzzle of the universe’s expansion, a theoretical paper suggests.

Several thousand sensors distributed over a square kilometer near the South Pole are tasked with answering one of the large outstanding questions in physics: does quantum gravity exist?

The sensors monitor neutrinos —particles with no electrical charge and almost without mass—arriving at the Earth from outer space. A team from the Niels Bohr Institute (NBI) at the University of Copenhagen have contributed to developing the method which exploits neutrino data to reveal if quantum gravity exists.

“If as we believe, quantum gravity does indeed exist, this will contribute to unite the current two worlds in physics. Today, classical physics describes the phenomena in our normal surroundings such as gravity, while the atomic world can only be described using quantum mechanics. The unification of quantum theory and gravitation remains one of the most outstanding challenges in fundamental physics. It would be very satisfying if we could contribute to that end,” says Tom Stuttard, assistant professor at NBI.

Memristive and nanoionic devices have recently emerged as leading candidates for neuromorphic computing architectures. While top-down fabrication based on conventional bulk materials has enabled many early neuromorphic devices and circuits, bottom-up approaches based on low-dimensional nanomaterials have shown novel device functionality that often better mimics a biological neuron. In addition, the chemical, structural and compositional tunability of low-dimensional nanomaterials coupled with the permutational flexibility enabled by van der Waals heterostructures offers significant opportunities for artificial neural networks. In this Review, we present a critical survey of emerging neuromorphic devices and architectures enabled by quantum dots, metal nanoparticles, polymers, nanotubes, nanowires, two-dimensional layered materials and van der Waals heterojunctions with a particular emphasis on bio-inspired device responses that are uniquely enabled by low-dimensional topology, quantum confinement and interfaces. We also provide a forward-looking perspective on the opportunities and challenges of neuromorphic nanoelectronic materials in comparison with more mature technologies based on traditional bulk electronic materials.

In a paper published today in Nature Communications, researchers unveiled previously unobserved phenomena in an ultra-clean sample of the correlated metal SrVO₃. The study offers experimental insights that challenge the prevailing theoretical models of these unusual metals.

The international research team—from the Paul Drude Institute of Solid State Electronics (PDI), Germany; Oak Ridge National Laboratory (ORNL); Pennsylvania State University; University of Pittsburgh; the Pittsburgh Quantum Institute; and University of Minnesota—believes their findings will prompt a re-evaluation of current theories on electron correlation effects, shedding light on the origins of valuable phenomena in these systems, including magnetic properties, high-temperature superconductivity, and the unique characteristics of highly unusual transparent metals.

The perovskite oxide material SrVO₃ is classified as a Fermi liquid—a state describing a system of interacting electrons in a metal at sufficiently low temperatures.