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Experiment realizes quantum advantage in data storage with a photonic quantum processor

In recent years, quantum physicists and engineers have been trying to develop quantum computer processors that perform better than classical computers on some tasks. Yet conclusive demonstrations proving that quantum systems perform better than their classical counterparts (i.e., realizations of a quantum advantage) remain scarce, due to various experimental challenges.

Researchers at Henan Key Laboratory of Quantum Information and Cryptography and the S. N. Bose National Center for Basic Sciences carried out an experiment aimed at establishing the of an elementary quantum system for .

Their paper, published in Physical Review Letters, demonstrates that a single qubit can outperform a classical bit in a communication task that does not involve any shared randomness (i.e., classically correlated random variables between communicating parties).

‘Spooky action’ at a very short distance: Scientists map out quantum entanglement in protons

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and collaborators have a new way to use data from high-energy particle smashups to peer inside protons. Their approach uses quantum information science to map out how particle tracks streaming from electron-proton collisions are influenced by quantum entanglement inside the proton.

The results reveal that and gluons, the fundamental building blocks that make up a proton’s structure, are subject to so-called . This quirky phenomenon, famously described by Albert Einstein as “spooky action at a distance,” holds that particles can know one another’s state—for example, their spin direction—even when they are separated by a great distance.

In this case, entanglement occurs over incredibly short distances—less than one quadrillionth of a meter inside individual —and the sharing of information extends over the entire group of quarks and gluons in that proton.

AI Could Make Quantum Computing Obsolete, Nobel Prize Winner Says

Check out my introduction to quantum mechanics on Brilliant! First 30 days are free and 20% off the annual premium subscription when you use our link ➜ https://brilliant.org/sabine.

Last week, DeepMind’s Demis Hassabis said that AI might be able to solve problems that quantum computers were supposedly necessary for. Indeed he said that classical systems – AI run on conventional computers – can model quantum systems. Sounds like an innocent claim but is certain to upset a lot of quantum computing researchers. Hassabis bases his argument on the surprising success of Alphafold.

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Physics experiment proves patterns in chaos in peculiar quantum realm

Unveiling Quantum Scars: A Window into Chaos in Graphene Quantum Dots.

In the realm of quantum physics, certain phenomena challenge our understanding of chaos and order.


Patterns in chaos have been proven, in the incredibly tiny quantum realm, by an international team co-led by UC Santa Cruz physicist Jairo Velasco, Jr. In a new paper published on November 27 in Nature, the researchers detail an experiment that confirms a theory first put forth 40 years ago stating that electrons confined in quantum space would move along common paths rather than producing a chaotic jumble of trajectories.

Electrons exhibit both particle and wave-like properties—they don’t simply roll like a ball. Electrons behave in ways that are often counterintuitive, and under certain conditions, their waves can interfere with each other in a way that concentrates their movement into certain patterns. The physicists call these common paths “unique closed orbits.”

Achieving this in Velasco’s lab required an intricate combination of advanced imaging techniques and over electron behavior within graphene, a material widely used in research because its unique properties and two-dimensional structure make it ideal for observing .

Novel quantum computing algorithm enhances single-cell analysis

A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of computational biology and quantum computing.

The study, “Bisection Grover’s Search Algorithm and Its Application in Analyzing CITE-seq Data,” was published in the Journal of the American Statistical Association on Sept. 20.

While traditional approaches struggle to handle the immense amount of data generated from measuring both RNA and in individual cells, the new enables analysis of data from a single-cell technology known as CITE-seq. It allows for selection of the most important markers from billions of possible combinations—a task that would be formidable using classical methods.

Spin quantum battery enables energy storage without external fields

This system charges without external fields, advancing energy technology.


A research team at the University of Genova has developed the spin quantum battery, an energy storage system that uses the spin degrees of freedom of particles.

The battery utilizes the spin properties of particles for energy storage and release, with a distinctive charging method that eliminates the need for an external field.

Quantum many-body theory and non-equilibrium physics are longstanding research areas within the quantum condensed matter theory group led by Maura Sassetti at the University of Genova, according to senior author Dario Ferraro.

Scientists Discover a Way to Shrink Quantum Computer Components by 1,000x

Researchers have developed a revolutionary method to produce entangled photon pairs using much thinner materials, drastically reducing the size of quantum computing components.

This breakthrough enables simpler, more compact setups for quantum technologies, potentially transforming fields from climate science to pharmaceuticals.

Breakthrough in Quantum Computing.

The Scaling Entropy-Area Thermodynamics and the Emergence of Quantum Gravity

This article introduces the “Scaling Entropy-Area Thermodynamics” (SEAT), a unified framework claiming that all gravitational systems’ entropy scales with their surface, rather their volume, allowing gravity to be explained as an emergent phenomenon. This approach reveals how entropy, information, spacetime geometry and quantum mechanics are intrinsically linked fromnotions such as von Neumann entropy, Bekenstein bound and Ryu-Takayanagi conjecture. With the help of new entropy formulations involving surface gravity, SEAT illustrates how gravitational entropy explains gravitational systems from structured information at the boundary surface.

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