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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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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.”

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.

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.

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.

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.

Advancements in deep-tech solutions addressing global healthcare challenges.

The landscape of healthcare is undergoing a radical transformation fueled by deep-tech innovations that tackle some of the most pressing global health challenges. Deep-tech, a term that encompasses technologies grounded in scientific research and engineering advancements, is reshaping diagnostics, treatment modalities, and healthcare delivery systems on a global scale. With increasing demands for accessible, efficient, and equitable healthcare, deep-tech solutions—such as artificial intelligence (AI), advanced robotics, nanotechnology, biotechnology, and quantum computing—are playing pivotal roles in reshaping modern medicine.

This article explores the advancements in deep-tech solutions that are addressing global healthcare challenges and provides insight into how these technologies are likely to shape the future of medicine, impacting medical professionals, patients, and healthcare systems worldwide.

Over the past few years, some researchers have been working on alternative energy storage systems that leverage the principles of quantum mechanics. These systems, known as quantum batteries, could be more efficient and compact than conventional battery technologies, while also achieving faster charging times.

In a recent paper published in Physical Review Letters, a research group at University of Genova introduced a new spin quantum battery, a battery that leverages the spin degrees of freedom of particles to store and release energy. This battery is charged in a unique and advantageous way, without the need for an external field.

“Quantum many-body theory and non-equilibrium physics are traditional topics in the quantum condensed matter theory group led by Maura Sassetti at University of Genova,” Dario Ferraro, senior author of the paper, told Phys.org.