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We are used to the notion of classical harmonic oscillators; these are oscillators fluctuating coherently-this is, symmetrically-around their equilibrium position, experiencing a restoring force F proportional to the displacement x following the relationship F = – kx, being k a positive constant commonly known in the mechanics of ideal springs.

If F is the only force acting on the system (which means there is no friction with the environment) the system is called a simple harmonic oscillator, and it undergoes a sinusoidal oscillations about the equilibrium point, with a constant amplitude and a constant frequency that does not depend on the amplitude.

In real life, for example in the case of a spring, we see a damped oscillation because it will decrease with time due to friction. So basically, the harmonic oscillation is a very useful idealization that allows to simplify many physical problems.

The state could be used for exquisitely sensitive measurements and even to test the Standard Model.

Most of the current atom interferometers are large instruments, occupying buildings and requiring towers that can reach tens of meters in height. Now, University of Michigan physicists have developed a design for a quantum rotation sensor with a core size that is barely visible to the human eye.

The proof-of-concept design could help bring atom interferometer-based quantum sensors out of the laboratory and into the world, according to lead author and U-M doctoral student Bineet Dash.

Scientists could use atom interferometers in quests ranging from the continual hunt for the tiny ripples in the fabric of our universe caused by gravitational waves to understanding minute, localized changes in Earth’s gravity caused by melting ice sheets in Antarctica, Dash says. But because of their size, atom interferometers are typically bound to laboratory settings. Currently, the most sensitive atom interferometers use tall towers inside buildings to shoot beams of atoms across tens of meters to gather information.

Researchers explore an intriguing phenomenon in quantum systems, drawing inspiration from a recent quantum computing experiment.

Earlier this year, researchers at the Flatiron Institute’s Center for Computational Quantum Physics (CCQ) announced that they had successfully used a classical computer and sophisticated mathematical models to thoroughly outperform a quantum computer on a task that some thought only quantum computers could solve.

https://lnkd.in/gPGP3Q3j In this article, we propose a new Feynman’s path integral approach and extend this formalism into curved spacetime and consider its possible implications for black hole physics. While still a work in progress, this model suggests that black holes, rather than representing the final stages of gravitational collapse, might contribute to the formation of new universes. We carefully examine both Schwarzschild and Kerr metric of rotating and non-rotating black holes. We derived that rotating black hole will create a traversable worm hole without exotic particles and non-rotating back hole will create another universe by interpretation of path integral finally. We proposed the way how to create the wormhole between two interstellar space using qubits. This proved ER=EPR. John Preskill Dear Professor Preskill Please help me check it Sir.

A new quantum error correction method developed by a University of Sheffield researcher aims to make quantum measurements more reliable.

A new photonic processor efficiently solves complex NP-complete problems using light, offering faster computation and scalability for future applications in optical neural networks and quantum computing.

As technology continues to evolve, the limitations of traditional electronic computers are becoming more evident, particularly when addressing highly complex computational problems. NP-complete problems, which grow exponentially in difficulty as their size increases, are among the most challenging in computer science. These issues affect a wide range of fields, from biomedicine to transportation and manufacturing. To find more efficient solutions, researchers are turning to alternative computing methods, with optical computing showing significant promise.

Breakthrough in Photonic Processor Development.

Here’s Malur Narayan of Latimer AI sharing about removing bias, and setting a standard for identifying and measuring it in artificial intelligence systems, and LLM’s.

Malur is a tech leader in AI / ML, mobile, quantum, and is an advocate of tech for good, and responsible AI.

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Quantum, Blockchain & AI | Sarah Baldeo, Founder, ID Quotient Advisory Group. Sarah will be presenting at the upcoming Fin+AI 2024 Conference.

Register with code EARLYBIRD until July 15th — www.finaiconference.com.

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