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Researchers in the US developed a new energy-based benchmark for quantum advantage and used it to demonstrate noisy intermediate-scale quantum (NISQ) computers that use several orders of magnitude less energy than the world’s most powerful supercomputer. Quantum computing is a branch of computer science that focuses on the development of technologies based on quantum theory principles.

Quantum computing solves problems that are too complex for classical computing by utilizing the unique properties of quantum physics. The question of whether a quantum computer can perform calculations beyond the reach of even the most powerful conventional supercomputer is becoming increasingly relevant as quantum computers become larger and more reliable. This ability, dubbed “quantum supremacy,” marks the transition of quantum computers from scientific curiosity to useful devices. Scientists predict that Quantum computing is better than supercomputers as it performs tasks a million times faster. Quantum computers can handle complex calculations easily because they are built based on quantum principles that go beyond classical physics.

Quantum computers and supercomputers are extremely powerful machines used for complex calculations, problem solving, and data analysis. While both have the potential to revolutionize computing technology, they have significant speed and capability differences. In 2019, Google’s quantum computer performed a calculation that would take the world’s most powerful computer 10,000 years to complete. It is the seed for the world’s first fully functional quantum computer, which will be capable of producing better medicines, developing smarter artificial intelligence, and solving cosmic mysteries. Theoretical physicist John Preskill proposed a formulation of quantum supremacy, or the superiority of quantum computers, in 2012. He dubbed it the moment when quantum computers can perform tasks that ordinary computers cannot. To quickly crunch large amounts of data and achieve a single result, supercomputers employ a traditional computing approach with multiple processors.

Quantum Mechanics is the science behind nuclear energy, smart phones, and particle collisions. Yet, almost a century after its discovery, there is still controversy over what the theory actually means. The problem is that its key element, the quantum-mechanical wave function describing atoms and subatomic particles, isn’t observable. As physics is an experimental science, physicists continue to argue over whether the wave function can be taken as real, or whether it is just a tool to make predictions about what can be measured—typically large, “classical” everyday objects.

The view of the antirealists, advocated by Niels Bohr, Werner Heisenberg, and an overwhelming majority of physicists, has become the orthodox mainstream interpretation. For Bohr especially, reality was like a movie shown without a film or projector creating it: “There is no quantum world,” Bohr reportedly affirmed, suggesting an imaginary border between the realms of microscopic, “unreal” quantum physics and “real,” macroscopic objects—a boundary that has received serious blows by experiments ever since. Albert Einstein was a fierce critic of this airy philosophy, although he didn’t come up with an alternative theory himself.

For many years only a small number of outcasts, including Erwin Schrödinger and Hugh Everett populated the camp of the realists. This renegade view, however, is getting increasingly popular—and of course triggers the question of what this quantum reality really is. This is a question that has occupied me for many years, until I arrived at the conclusion that quantum reality, deep down at the most fundamental level, is an all-encompassing, unified whole: “The One.”

Physics gets strange at the atomic scale. Scientists are utilizing quantum analog simulators – laboratory experiments that involve cooling numerous atoms to low temperatures and examining them using precisely calibrated lasers and magnets – to uncover, harness, and control these unusual quantum effects.

Scientists hope that any new understanding gained from quantum simulators will provide blueprints for designing new exotic materials, smarter and more efficient electronics, and practical quantum computers. But in order to reap the insights from quantum simulators, scientists first have to trust them.

That is, they have to be sure that their quantum device has “high fidelity” and accurately reflects quantum behavior. For instance, if a system of atoms is easily influenced by external noise, researchers could assume a quantum effect where there is none. But there has been no reliable way to characterize the fidelity of quantum analog simulators, until now.

Wormholes are an intriguing bit that most people probably chalk up to science fiction. After all, seeing the Millennium Falcon barreling through hyperspeed in Star Wars is exciting, but there’s no way we could ever actually travel like that, right? Well, it might not actually be that impossible. According to new research, scientists were able to make a man-made wormhole using a quantum processor.

Of course, this isn’t to be misconstrued. They didn’t actually make a wormhole that someone was able to rip through space and time. Instead, they made a small, crummy wormhole on a quantum processor that could help teach us more about traversable wormhole dynamics. As such, the man-made wormhole, even if crummy, could be home to a plethora of data.

The physicists shared a paper detailing their findings on the man-made wormhole in the journal Nature. According to that paper, the “baby wormhole” was a successful attempt at observing traversable wormhole dynamics, something physicists have been trying to understand for decades. And, with scientists recently discovering a way to find wormholes in space, it could be more important than ever.

Through optomechanical experiments, scientists aim to delve into the boundaries of the quantum realm and lay the groundwork for the creation of highly sensitive quantum sensors. In these experiments, everyday visible objects are coupled to superconducting circuits through electromagnetic fields.

To produce functional superconductors, these experiments are conducted inside cryostats at a temperature of around 100 millikelvins. However, this is still far from low enough to truly enter the quantum world. In order to observe quantum effects on large-scale objects, they must be cooled to nearly absolute zero.

Absolute zero is the theoretical lowest temperature on the thermodynamic temperature scale. At this temperature, all atoms of an object are at rest and the object does not emit or absorb energy. The internationally agreed-upon value for this temperature is −273.15 °C (−459.67 °F; 0.00 K).

There are stark differences between metals, through which electrons flow freely, and electrical insulators, in which electrons are essentially immobile. And despite the obvious difficulties in finding a way to switch back and forth from a metal to an insulator within one material, physicists are trying to figure out how.

“Say you want to put billions of circuit elements on a tiny chip and then control, at that microscopic scale, whether just one of the elements is metallic or insulating in a controlled fashion,” said Debanjan Chowdhury, assistant professor of physics in the College of Arts and Sciences. “It would be remarkable if you could control the microscopic device at the flick of a switch.”

Digging into recent past experimental results to try to reconcile experiment and theory, Chowdhury and doctoral candidate Sunghoon Kim found that even a tiny amount of imperfection, inherent in any real-life material, plays a key role in revealing the universal physics associated with the experimental metal-to-insulator transition (Physical Review Letters, “Continuous Mott Transition in Moiré Semiconductors: Role of Long-Wavelength Inhomogeneities”). Understanding the physics behind this mysterious phase transition could lead to new complex microscopic circuits, superconductors and exotic insulators that could find use in quantum computing.

Dramatic advances in quantum computing, smartphones that only need to be charged once a month, trains that levitate and move at superfast speeds. Technological leaps like these could revolutionize society, but they remain largely out of reach as long as superconductivity—the flow of electricity without resistance or energy waste—isn’t fully understood.

One of the major limitations for real-world applications of this technology is that the materials that make superconducting possible typically need to be at extremely cold temperatures to reach that level of electrical efficiency. To get around this limit, researchers need to build a clear picture of what different superconducting materials look like at the atomic scale as they transition through different states of matter to become superconductors.

Scholars in a Brown University lab, working with an international team of scientists, have moved a small step closer to cracking this mystery for a recently discovered family of superconducting Kagome metals. In a new study, they used an innovative new strategy combining nuclear magnetic resonance imaging and a quantum modeling theory to describe the microscopic structure of this superconductor at 103 degrees Kelvin, which is equivalent to about 275 degrees below 0 degrees Fahrenheit.

Top 10 upcoming future technologies | trending technologies | 10 upcoming tech.

Future technologies are currently developing at an acclerated rate. Future technology ideas are being converted into real life at a very fast pace.

These Innovative techs will address global challenges and at the same time will make life simple on this planet. Let’s get started and have a look at the top technologies of the future | Emerging technologies.

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Chapters.
00:00 ✅ Intro.
00:23 ✅ 10. Genomics: Device to improve your health.
01:13 ✅ 09. New Energy Solutions for the benefit of our environment.
01:53 ✅ 08. Robotic Process Automation: Technology that automates jobs.
02:43 ✅ 07. Edge Computing to tackle limitations of cloud computing.
03:39 ✅ 06. Quantum Computing: Helping to stop the spread of diseases.
04:31 ✅ 05. Augmented reality and virtual reality: Now been employed for training.
05:05 ✅ 04. Blockchain: Delivers valuable security.
05:50 ✅ 03. Internet of things: So many things can connect to the internet and to one another.
06:40 ✅ 02. Cyber Security to improve security.
07:24 ✅ 01. 3D Printing: Used to create prototypesfuturistic technologybest future tech.

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