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Category: quantum physics – Page 30

Quantum Newton’s cradle set to level up computing

Sending quantum information through a chain of qubits, like energy through a Newton’s cradle, could be the key to faster operations and take quantum computing to the next level.

The quantum Newton’s cradle design shows how a laser can be used to give a precisely designed kick of energy to a row of trapped ions, quickly preparing them for quantum calculations known as gates.

The superpower of the new algorithm is its ability to rapidly entangle any two ions in the row without affecting the ones in between: Like a Newton’s cradle, the energy travels through the ions, leaving them untouched.

Shaking atoms to bring black-hole quantum chaos into the lab

Physicists have discovered a surprisingly simple way to reproduce one of the most fascinating models in modern physics—linked to black holes, quantum chaos and exotic electronic materials—using ultracold atoms trapped in light.

Instead of trying to build a highly complex system from scratch, the researchers show that gently “shaking” a standard optical lattice can transform it into an accurate simulator of the Sachdev–Ye–Kitaev (SYK) model, a theoretical model known for its extreme and unusual quantum behavior.

The findings are published in the journal Physical Review Letters.

Northwestern University Researchers Demonstrate Quantum Entanglement Over Busy Telecom Fiber

Kumar and his team measured entanglement fidelity above 94%, confirming it survived the journey at a level impossible for a classical communications system to reproduce.

The study is a part of a broader shift toward integrating quantum technologies with existing telecommunications systems. Kumar and coauthor Jordan Thomas recently explored that evolution in a feature article for Optics & Photonics News.

Next, the team plans to perform quantum teleportation between remote nodes across a real-world telecommunications network. While Kumar has already performed teleportation in his lab, he wants to demonstrate it over a metropolitan fiber carrying commercial traffic.

Does dark energy really exist? Our work identifies cracks in the foundations of today’s cosmological model

According to our best understanding, the universe is expanding – and is doing so at an accelerating rate. This is believed to be caused by something called the “cosmological constant”, which was first proposed by Albert Einstein in his theory of general relativity. In recent decades, it has become better known as dark energy, which is believed to make up about 70% of the universe.

Crucial to this realisation were studies of Type Ia supernovae – exploding white dwarf stars. These are thought to emit a specific amount of light, which allows astronomers to determine their distances very accurately and thereby track the expansion of the universe. This work was awarded the 2011 Nobel prize in physics.

The accelerating expansion of the universe is thought to be due to negative pressure, an unusual property of dark energy that allows it to overcome the attractive force of gravity. Yet the exact nature of dark energy remains a puzzle. It cannot be explained by our best theory for the fundamental building blocks of the universe – known as the standard model of particle physics.

Striped or checkered? Magnetic field influences competing electronic patterns in a graphene-like quantum material

In most everyday materials, such as copper, silver and silicon, the behavior of electrons is relatively predictable. In quantum materials, however, electrons can interact in complex ways, giving rise to collective electronic states with remarkable properties. Understanding how these states emerge—and, ultimately, how to control them—is one of the central challenges in quantum materials research.

Now, researchers from the Okinawa Institute of Science and Technology (OIST) and Hiroshima University have discovered that a small magnetic field switches the layered quantum material CeTe₃ between competing electronic states that appear as striped or checkerboard patterns.

Published in Nature Communications, the work reveals how magnetism can reorganize a quantum material’s entire electronic state.

The Surprising Evidence our Universe is INSIDE a Black Hole

What if everything we know — every galaxy, every star, every atom — is actually inside a black hole? In this video, we explore the fascinating possibility that our entire universe could exist within a black hole embedded in a larger “parent” universe. This idea isn’t science fiction; it arises from real solutions to Einstein’s equations in general relativity and from modern efforts to connect gravity with quantum mechanics. We examine what physics predicts happens inside a black hole, how space and time behave at an event horizon, and why the Big Bang might resemble the birth of a black hole from the outside.

We also explore the deeper implications of this theory: whether a collapsing star in another universe could create a new expanding universe on the inside, how spin and entropy might relate to cosmic expansion, and what this could mean for the concept of a multiverse. Could every black hole be the seed of a new universe? And if so, what does that say about where we came from and the true structure of reality? This is one of the most mind-bending ideas in cosmology — and it challenges our very notion of what “inside” and “outside” even mean.

Quantum Neural Networks Face the Hardware Test

Artificial neural networks have become powerful tools for finding patterns in complex data, from classifying images to predicting protein structures and assisting mathematical discovery. Yet their success has so far relied almost entirely on classical hardware. Recent developments in quantum-computing technologies make it timely to ask whether trainable models can also make use of quantum effects such as superposition and the intrinsic uncertainty associated with quantum measurements. What’s more, running neural networks on real quantum processors could potentially turn these networks into probes, revealing how different hardware architectures shape networks’ behaviors.

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