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Practical applications for quantum entanglement have already been proposed, as entangled particles have been suggest for use in powerful quantum computers and “impossible” to crack networks. Now, it seems quantum entanglement may be linked to wormholes.

Entangled wormholes.

Flat screen TVs that incorporate quantum dots are now commercially available, but it has been more difficult to create arrays of their elongated cousins, quantum rods, for commercial devices. Quantum rods can control both the polarization and color of light, to generate 3D images for virtual reality devices.

Using scaffolds made of folded DNA, MIT engineers have come up with a new way to precisely assemble arrays of quantum rods. By depositing quantum rods onto a DNA scaffold in a highly controlled way, the researchers can regulate their orientation, which is a key factor in determining the polarization of light emitted by the array. This makes it easier to add depth and dimensionality to a virtual scene.

“One of the challenges with quantum rods is: How do you align them all at the nanoscale so they’re all pointing in the same direction?” says Mark Bathe, an MIT professor of biological engineering and the senior author of the new study. “When they’re all pointing in the same direction on a 2D surface, then they all have the same properties of how they interact with light and control its polarization.”

Experience the captivating world of Quantum Computing in AI through this thrilling video! Delve into the groundbreaking realm of Quantum Computers and its revolutionary synergy with Artificial Intelligence, leading us into an era of technological revolution.
The first part of the video unravels the enigmatic concept of Quantum Computing, explaining its complex principles in a way that even beginners can understand. Watch the video to discover the magic of quantum bits (qubits) and superposition as they challenge the norms of classical computing.
Are you curious about what Quantum Supremacy is? Or what Quantum Computing in AI can truly achieve? This intriguing section showcases the extraordinary capabilities of these computing marvels, delving into the fascinating world of quantum supremacy and how it empowers AI.
Moving forward, embark on a journey into Quantum Machine Learning, a cutting-edge AI paradigm that combines Quantum Computing with Artificial Intelligence. Prepare to be amazed by its ability to push the boundaries of data processing, learning, and prediction and embarking revolution in Neural Network and Natural Language Processing. The future of quantum AI is revolutionary; you should not miss it!
The video does not stop there! We also explore real-world applications of Quantum AI, demonstrating how this technology is revolutionizing industries like healthcare, cybersecurity, finance, education and more, with unprecedented efficiency and precision.
The video sheds light on Quantum AI’s potential to solve once-unthinkable problems in areas such as molecular simulation, precise optimization, predictions, and personalization. We discover how AI with Quantum Computing solve challenges which were thought impossible to crack.
This video is a comprehensive resource for anyone interested by Quantum Computing, AI, and their synergy. Join us as we embark on this exciting journey into the revolutionary synergy between two technologies. Whether you’re a quantum computing enthusiast, an AI lover, or simply enjoy tech insights, don’t forget to Like, Comment, and Subscribe to stay informed about the latest trends!
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Chapters.
0:00-Introduction.
0:50-Simple Concepts of Quantum Computing and AI
2:30-Ways How will Quantum computing affect AI?
2:34–1) Improvement in Machine Learning Algorithm.
4:04–2) Enhanced Neural Network.
5:15–3) Advancing Natural Language Processing.
6:27–4) Solving Complex Issues.
7:02-Usability of Quantum AI Computing.
7:23–1) Fact-Checkers for AI Chatbots.
8:08–2) Benefits for Life Science.
8:50–3) Cybersecurity.
9:21–4) Impact on Education.
10:08–5) Autonomous Vehicle.
11:01–6) Logistics Industry.
11:55–7) Climate Change.
12:52-ConclusionSubscribe for more content in the fascinating field of Artificial Intelligence.
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Scientists at The University of Manchester’s National Graphene Institute have discovered new physics in graphite through the application of twistronics, revealing a 2.5-dimensional mixing of surface and bulk states. The research opens new possibilities in controlling electronic properties in both 2D and 3D materials.

Researchers in the National Graphene Institute (NGI) at The University of Manchester have revisited graphite, one of the most ancient materials on Earth, and discovered new physics that has eluded the field for decades.

The Complexity of Graphite.

USC Dornsife physics professor and string theory expert who changed prevailing thought on quantum field theory has died at age 67.

All this and stamp collecting?paraphrase Lord Kelvin.

If you’d like to learn more about quantum mechanics, use our link https://brilliant.org/sabine — You can get started for free, and the first 200 will get 20% off the annual premium subscription.

Continue reading “New physics or not? I’ll sort it out for you” »

Simon C. Marshall, Casper Gyurik, and Vedran Dunjko.

Leiden University, Leiden, The Netherlands.

Get full text pdfRead on arXiv VanityComment on Fermat’s library.

We often believe computers are more efficient than humans. After all, computers can complete a complex math equation in a moment and can also recall the name of that one actor we keep forgetting. However, human brains can process complicated layers of information quickly, accurately, and with almost no energy input: recognizing a face after only seeing it once or instantly knowing the difference between a mountain and the ocean.

These simple human tasks require enormous processing and energy input from computers, and even then, with varying degrees of accuracy.

Creating brain-like computers with minimal energy requirements would revolutionize nearly every aspect of modern life. Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C)—a nationwide consortium led by the University of California San Diego—has been at the forefront of this research.

There is increasing talk of quantum computers and how they will allow us to solve problems that traditional computers cannot solve. It’s important to note that quantum computers will not replace traditional computers: they are only intended to solve problems other than those that can be solved with classical mainframe computers and supercomputers. And any problem that is impossible to solve with classical computers will also be impossible with quantum computers. And traditional computers will always be more adept than quantum computers at memory-intensive tasks such as sending and receiving e-mail messages, managing documents and spreadsheets, desktop publishing, and so on.

There is nothing “magic” about quantum computers. Still, the mathematics and physics that govern their operation are more complex and reside in quantum physics.

The idea of quantum physics is still surrounded by an aura of great intellectual distance from the vast majority of us. It is a subject associated with the great minds of the 20^th century such as Karl Heisenberg, Niels Bohr, Max Planck, Wolfgang Pauli, and Erwin Schrodinger, whose famous hypothetical cat experiment was popularized in an episode of the hit TV show ‘The Big Bang Theory’. As for Schrodinger, his observations of the uncertainty principle, serve as a reminder of the enigmatic nature of quantum mechanics. The uncertainty principle holds that the observer determines the characteristics of an examined particle (charge, spin, position) only at the moment of detection. Schrödinger explained this using the theoretical experiment, known as the paradox of Schrödinger’s cat. The experiment’s worth mentioning, as it describes one of the most important aspects of quantum computing.