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The method is still at its basic stage but multiple such microscopes could be pooled up to build a larger quantum computer.

Researchers at the IBS Center for Quantum Nanoscience (QNS) in Seoul, South Korea, have successfully demonstrated using a scanning tunneling microscope (STM) to perform quantum computation using electrons as qubits, a press release said.

Quantum computing is usually associated with terms such as atom traps or superconductors that aid in isolating quantum states or qubits that serve as a basic unit of information. In many ways, everything in nature is quantum and can be used to perform quantum computations as long as we can isolate its quantum states.

Tinkerers, developers, and general-purpose nerds will be happy to hear that Raspberry Pi CEO Eben Upton was wrong about the Raspberry Pi 5. When asked about the foundation’s fifth-generation single-board computer late last year, Upton said we should not expect to see it in 2023. But surprise, the Raspberry Pi 5 is launching this month with a big performance boost and a reasonable price.

The new model, which will be much faster, starts at just $60 with 4GB of RAM.

In a new Physical Review Letters study, scientists have successfully presented a proof of concept to demonstrate a randomness-free test for quantum correlations and non-projective measurements, offering a groundbreaking alternative to traditional quantum tests that rely on random inputs.

“Quantum correlation” is a fundamental phenomenon in quantum mechanics and one that is central to quantum applications like communication, cryptography, computing, and information processing.

Bell’s inequality, or Bell’s theory, named after physicist John Stewart Bell, is the standard test used to determine the nature of correlation. However, one of the challenges with using Bell’s theorem is the requirement of seed randomness for selecting measurement settings.

The famous Copenhagen Interpretation favored by the founders of quantum mechanics is most definitely psi-epistemic. Niels Bohr, Werner Heisenberg, and others saw the state vector as being related to our interactions with the Universe. As Bohr said, “Physics is not about how the world is; it is about what we can say about the world.”

QBism is also definitively psi-epistemic, but it is not the Copenhagen Interpretation. Its epistemic focus grew organically from its founders’ work in quantum information science, which is arguably the most important development in quantum studies over the last 30 years. As physicists began thinking about quantum computers, they recognized that seeing the quantum in terms of information — an idea with strong epistemic grounding — provided new and powerful insights. By taking the information perspective seriously and asking, “Whose information?” the founders of QBism began a fundamentally new line of inquiry that, in the end, doesn’t require science fiction ideas like infinite parallel universes. That to me is one of its great strengths.

But, like all quantum interpretations, there is a price to be paid by QBism for its psi-epistemic perspective. The perfectly accessible, perfectly knowable Universe of classical physics is gone forever, no matter what interpretation you choose. We’ll dive into the price of QBism next time.

Quantum physicists have simulated super diffusion in quantum particles on a quantum computer, paving the way for deeper insights into condensed matter physics and materials science. This achievement, realized on a 27-qubit system programmed remotely from Dublin, emphasizes the potential of quantum computing in both commercial and fundamental physics inquiries.

Quantum physicists at Trinity, working alongside IBM Dublin, have successfully simulated super diffusion in a system of interacting quantum particles on a quantum computer.

This is the first step in doing highly challenging quantum transport calculations on quantum hardware and, as the hardware improves over time, such work promises to shed new light in condensed matter physics and materials science.

Physicists have performed the first quantum calculations to be carried out using individual atoms sitting on a surface.

The technique, described on 5 October in Science¹, controls titanium atoms by beaming microwave signals from the tip of a scanning tunnelling microscope (STM). It is unlikely to compete any time soon with the leading approaches to quantum computing, including those adopted by Google and IBM, as well as by many start-up companies. But the tactic could be used to study quantum properties in a variety of other chemical elements or even molecules, say the researchers who developed it.

At some level, everything in nature is quantum and can, in principle, perform quantum computations. The hard part is to isolate quantum states called qubits — the quantum equivalent of the memory bits in a classical computer — from environmental disturbances, and to control them finely enough for such calculations to be achieved.

With millions of tons of human waste we could make mountains of graphene microchips :3.

A trio of researchers, two from the University of Chemistry and Technology, Praha 6, the other the University of Toronto, has demonstrated that chicken feces can be used to make graphene a better catalyst. In their paper published in the journal ACS Nano, Lu Wang, Zdenek Sofer and Martin Pumera argue that researchers churning out papers describing newly found dopants for graphene are not contributing to understanding graphene’s electrocatalytic abilities.

Graphene has been found to have conductivity and strength characteristics that make it a desirable material for use in commercial products. Some have suggested it might also make an excellent catalyst if the right dopant can be found. To that end, researchers have been testing various materials as dopants for graphene to find new ways to use graphene. In their paper, Pumera et al. argue that rather than simply testing materials one after another with graphene, researchers might make better use of their time by devising experiments designed to better understand the fundamentals of graphene’s electrocatalytic abilities. To drive their point home, they wondered if any “crap” they tested would work as a possible dopant—to find out, they tested chicken crap. They prepared samples of graphene oxide using two different methods, then combined each with chicken feces—they then used thermal exfoliation on the results to make graphene.

In a new video, Intel has demoed the video playback capability of its Meteor Lake iGPU and its Low-Power E-Cores.

Intel Meteor Lake iGPU Offers Smooth 8K60 Video Playback, 1080P Video Playback Also Possible On SOC Tile’s Low-Power E-Cores

Continue reading “Intel Demos Meteor Lake iGPU 8K60 & SOC Tile E-Core Only 1080P Video Playback Capabilities” »

The 2023 Nobel Prize in Chemistry was awarded to three scientists who discovered and developed quantum dots, which are very small particles that can change color depending on their size. Quantum dots are tiny particles of a special kind of material called a semiconductor. They are so small that they behave differently from normal materials. They can absorb and emit light of different colors depending on their size and shape.

You can think of quantum dots as artificial atoms that can be made in a lab! They have some of the same properties as atoms, such as having discrete energy levels (meaning they can only exist in certain distinct energy states, and they cannot have energy values between these specific levels) and being able to form molecules with other quantum dots. But they also have some unique features that make them useful for many applications, such as displays, solar cells, sensors, and medicine, which I shall discuss later in this story!

To grasp the workings of quantum dots, a bit of quantum mechanics knowledge comes in handy. Quantum mechanics teaches us that these tiny entities can possess only specific amounts of energy, and they transition between these energy levels by absorbing or emitting light. The energy of this light is determined by the difference in energy levels. In typical materials like metals or plastics, energy levels are closely packed, forming continuous bands where electrons can move freely, resulting in less specific light absorption or emission. However, in semiconductors like silicon or cadmium selenide, there’s a gap between these bands known as the “band gap.” Electrons can only jump from one band to another by interacting with light having an energy level that precisely matches the band gap, making semiconductors valuable for creating devices like transistors and LEDs.