Scientists at the University of Michigan have discovered what is inside a black hole

A team of scientists led by physicist Enrico Rinaldi from the University of Michigan has taken a major step in the study of black holes by probing the interior of these mysterious objects in the universe using cutting-edge technology. Using quantum computing and deep learning, researchers have been able to unravel a mathematical model of a possible quantum state inside a black hole, revealing previously unpublished details of its structure, according to Joseph Shavit, editor-in-chief of science news at Brighter magazine. News side.

Holographic Duality: Key to Understanding Spacetime and Particles

studio Rinaldi It is based on holographic theory, which suggests that the laws of particle physics and gravity, although operating in different dimensions, are equivalent. This duality may provide a link between particle physics, which operates in two dimensions on the surface of a black hole, and gravity, which is felt in three dimensions in its geometry. Using mathematical models and advanced computational techniques, Rinaldi’s team was able to understand the possible interactions between these forces.

Key Components of Black Holes

Every black hole has a singularity at its core, where Gravity is so strong that spacetime bends to infinity.defying the laws of physics as we know them. Around this singularity event horizonan invisible boundary where everything that crosses it, including light, is absorbed forever.

Besides, black holes are surrounded by other interesting regions such as the photon spherewhere light swirls around the hole, and the accretion disk, a ring of gas and dust that spins and heats as it falls toward the event horizon, emitting radiation detected from Earth.

Quantum matrix models and their significance in research

The team’s work used matrix models to simulate the arrangement of particles inside a black hole, represented in its lowest energy state, known as the ground state. These simulations, which require optimization of quantum circuits, turned out to be necessary to align all the “grains of sand” in the model to obtain a stable configuration that could reflect the actual state of the black hole.

Towards a quantum theory of gravity

For Rinaldi and his team, these discoveries represent a key advance in the search for a quantum theory of gravity. Deep learning techniques and quantum computing have allowed us to determine the complete structure of the ground state, providing insight into how gravity can behave in quantum spacetime. Although they still face technological limitations, advances in the use of neural networks and quantum circuits are bringing scientists a step closer to understanding the “heart” of black holes.