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Category: quantum physics – Page 3

Quantum Algorithm Solves Metabolic Modeling Test

A Japanese research team from Keio University demonstrated that a quantum algorithm can solve a core metabolic-modeling problem, marking one of the earliest applications of quantum computing to a biological system. The study shows quantum methods can map how cells use energy and resources.

Flux balance analysis is a method widely used in systems biology to estimate how a cell moves material through metabolic pathways. It treats the cell as a network of reactions constrained by mass balance laws, finding reaction rates that maximize biological objectives like growth or ATP production.

No. The demonstration ran on a simulator rather than physical hardware, though the model followed the structure of quantum machines expected in the first wave of fault-tolerant systems. The simulation used only six qubits.

They Built a Crystal to Trap Light — And Found a New Kind of Quantum Link

Researchers at Rice University have developed a sophisticated 3D photonic-crystal cavity that can trap and control light in unprecedented ways, unlocking powerful light-matter interactions. Their work explores how photons and electrons interact under intense conditions — revealing exotic quantum states like polaritons and entering the realm of “ultrastrong coupling.”

Physics’ Strangest Prediction: Researchers Propose Way to Finally “See” the Warmth of the Vacuum

A subtle timing flash may expose the Unruh effect. The approach ties ordinary lab tools to deep quantum physics. Researchers at Stockholm University and the Indian Institute of Science Education and Research (IISER) Mohali have identified a practical method for detecting one of physics’ most unus

Probing the quantum nature of black holes through entropy

In a study published in Physical Review Letters, physicists have demonstrated that black holes satisfy the third law of thermodynamics, which states that entropy remains positive and vanishes at extremely low temperatures, just like ordinary quantum systems. The finding provides strong evidence that black holes possess isolated ground states, a hallmark of quantum mechanical behavior.

Understanding gravity’s quantum behavior is among the biggest open questions facing modern physics. Black holes are used as laboratories for investigating quantum gravity, particularly at low temperatures where quantum effects become visible.

Prior calculations showed that black hole entropy might become negative at low temperatures, a result that appeared physically puzzling. In this work, researchers addressed the paradox by incorporating wormhole effects in the two-dimensional Jackiw-Teitelboim (JT) gravity model.

Google Quantum AI realizes three dynamic surface code implementations

Quantum computers are computing systems that process information leveraging quantum mechanical effects. These computers rely on qubits (i.e., the quantum equivalent of bits), which can store information in a mixture of states, as opposed to binary states (0 or 1).

While quantum computers could tackle some computational and optimization problems faster and more effectively than classical computers, they are also inherently more prone to errors. This is because qubits can be easily disturbed by disturbances from their surrounding environment, also referred to as noise.

Over the past decades, quantum engineers and physicists have been trying to develop approaches to correct noise-related errors, also known as quantum error correction (QEC) techniques. While some of these codes achieved promising results in small-scale tests, reliably implementing them on real circuits is often challenging.

Quantum sensor based on silicon carbide qubits operates at room temperature

Over the past decades, physicists and quantum engineers introduced a wide range of systems that perform desired functions leveraging quantum mechanical effects. These include so-called quantum sensors, devices that rely on qubits (i.e., units of quantum information) to detect weak magnetic or electric fields.

Researchers at the HUN-REN Wigner Research Center for Physics, the Beijing Computational Science Research Center, the University of Science and Technology of China and other institutes recently introduced a new quantum sensing platform that utilizes silicon carbide (SiC)-based spin qubits, which store quantum information in the inherent angular momentum of electrons. This system, introduced in a paper published in Nature Materials, operates at room temperature and measures qubit signals using near-infrared light.

“Our project began with a puzzle,” Adam Gali, senior author of the paper told Phys.org. “Quantum defects that sit just a few nanometers below a surface are supposed to be fantastic sensors—but in practice, they pick up a lot of ‘junk’ signals from the surface itself. This is especially true in SiC. Its standard oxide surface is full of stray charges and spins, and those produce noise that overwhelms the quantum defects we actually want to use for sensing. We wanted to break out of this limitation.”

Can quantum computers help researchers learn about the inside of a neutron star?

A new paper published in Nature Communications could put scientists on the path to understanding one of the wildest, hottest, and most densely packed places in the universe: a neutron star.

Christine Muschik, a faculty member at the University of Waterloo Institute for Quantum Computing (IQC) and a research associate faculty member at Perimeter Institute is part of a U.S.–Canadian research group using a quantum computer to build on a theory of quantum chromodynamics that describes how different varieties of quarks and gluons (the most fundamental bits of nature) interact in nuclei.

To really understand the behavior of the quark-gluon plasma in extreme conditions like the beginning of the universe, or the inside of a neutron star, scientists need a map, a so-called “phase diagram” to describe the phase transitions in those conditions that are so extreme—so dense and complex—that classical computer simulations of the models will fail.

Nanoscale ‘Bragg gratings’ on photonic chips suppress noise in laser light

Researchers at the University of Sydney have cracked a long-standing problem in microchip-scale lasers by carving tiny “speed bumps” into the devices’ optical cavity in their quest to produce exceptionally “clean” light. This exquisitely narrow spectrum light could be used in future quantum computers, advanced navigation systems, ultra-fast communications networks and precision sensors.

In a new study published in APL Photonics, the team shows how to eliminate a critical source of noise in Brillouin lasers, a special class of light source known for its extraordinary purity, producing an ultranarrow spectrum that is almost a perfect single wavelength (or color) of light.

Light produced from sources like lightbulbs have a broad wavelength spectrum and are fine for everyday use but are too “noisy” for precision scientific purposes, where lasers are needed.

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