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University of Michigan scientists have discovered what’s inside a black hole


A team of scientists Led by physicist Enrico Rinaldi The University of Michigan has taken an important step in black hole researchAnd explore the inner parts of these mysterious entities in the universe through advanced technologies.

by larazon.es

Using quantum computing and deep learning, researchers were able to solve this problem Mathematical model of the possible quantum state inside a black holerevealing previously unpublished details about its structure, said Joseph Shavit, science news editor at Brighter Side of News.

Holographic duality: a key to understanding space-time and particles

Rinaldi Studio It is based on holographic theory, Which suggests that the laws of particle physics and gravity, although they operate in different dimensions, are equivalent. This duality could provide a link between particle physics, which operates in two dimensions on the black hole’s surface, and gravity, which is experienced in three dimensions within its geometry. Using mathematical models and advanced computational techniques, Rinaldi’s team was able to gain insight into the potential interactions between these forces.

The main components of black holes

Every black hole has a unique core Gravity is so strong that spacetime bends infinitelyDefying the laws of physics as we know them. About this uniqueness is Event horizonan invisible border where anything that crosses it, including light, is absorbed forever.

In addition, Black holes are surrounded by other interesting regions, such as a photon ballThe light revolves around the hole and the accretion disc, which is a ring of gas and dust that rotates and heats up as it falls toward the event horizon, emitting radiation that has been detected from Earth.

Quantum matrix models and their importance in research

In their work, the team used matrix models to simulate the arrangement of particles inside a black hole, represented by the lowest energy state known as the ground state. It turns out that this simulation, which requires optimization of quantum circuits, is necessary to settle all the “grains of sand” in the model, until obtaining a stable configuration that can reflect the real state of the black hole.

Towards a quantum theory of gravity

For Rinaldi and his team, these results represent a major advance in the search for a quantum theory of gravity. Deep learning and quantum computing techniques have allowed us to determine the full structure of the ground state, providing insight into it How might gravity behave in quantum space-time? Although they still face technological limitations, advances in the use of neural networks and quantum circuits have brought scientists closer to understanding the “heart” of black holes.