Two atomic clocks have been connected using quantum entanglement

 For the first time:  Implications?

Two atomic clocks have been connected using quantum entanglement – a property that intrinsically links them so that changes in one instantaneously affect the other. The connection makes it easier to synchronise the clocks, which could be used to make more accurate measurements of dark matter and gravity.

Atomic clocks consist of atoms that are very precisely controlled by lasers. Each “tick” corresponds to a frequent and measurable change in energy that occurs in the atoms’ electrons. The result is …

How Do Quantum Computers Work?

 Here a non technical view, intro here, more at the link: 

What Is Quantum Entanglement? Skip the heady and abstract physics lectures. Let’s talk about socks   By DAN GARISTO  in IEEE Spectrum

When pushed to explain why quantum computers can outspeed classical computers, stories about quantum computing often invoke a mysterious property called “entanglement.” Qubits, the reader is assured, can somehow be quantum mechanically entangled such that they depend on one another. If more detail is needed, the reader is told that entanglement links qubits no matter how far apart they are—so long as the qubits are “coherent.”

For the reader, things are far from coherent. Sure, entanglement is an important aspect of quantum computing. But what exactly is it?

In a few words, entanglement is when multiple objects—such as a pair of electrons or photons—share a single quantum state. Like threads in a tangle of yarn, entangled objects cannot be described as independent entities.

That explanation might be poetic, but it shouldn’t be satisfying. Things are not so simple or concrete. But with a little bit of high-school-level math (near the end of this story), our intuitions—based on a lifetime of classical physics—can be retrained and redirected just a bit.

However, we should also make the following disclaimer: No brief explanation can be expected to convey a comprehensive understanding of quantum mechanics. Our goal is simply to illustrate the basic concepts behind entanglement, so the reader can gain a more thorough understanding of what’s actually going on in this foundational phenomenon behind quantum computing.

Let’s begin with a slightly modified example from the celebrated Northern Irish physicist John Stewart Bell:    .... ' 

Spooky Actions at Work

 Linking Spooky action of Quantum to Machine Learning,

Spooky Action Could Help Boost Quantum Machine Learning Mysterious quantum links could help lead to exponential scale-up     By Charles  Q. Choi in Spectrum IEEE

Machine learning, which now powers speech recognition, computer vision, and more, could prove even more powerful when run on quantum computers. Now scientists find the strange quantum phenomenon known as entanglement, which Einstein dubbed “spooky action at a distance,” might help remove a major potential roadblock to implementing quantum machine learning, a new study finds.

Quantum computers can theoretically prove more powerful than any conventional computer on a number of tasks, such as finding a number’s prime factors—the mathematical foundation of the modern encryption currently protecting banking and other secure data. The more components known as qubits that are linked together in a quantum computer through entanglement—wherein multiple particles can influence each other instantaneously regardless of how far apart they are—the greater its computational power can grow, in an exponential fashion.

Scientists are still researching the specific problems for which quantum computing might have an advantage over classical computing. Recently, they have begun exploring whether quantum computing might help boost machine learning, the field of AI that investigates algorithms that improve automatically through experience.

One potential application of quantum machine learning is simulating quantum systems—for instance, chemical reactions that might yield insights leading to next-generation batteries or new drugs. This might entail creating models of the molecules of interest, having them interact, and using experiments of how the actual compounds interact as training data to help improve the models.

A potential major stumbling block that quantum machine learning may face is the so-called “no free lunch” theorem. The theorem suggests any machine learning algorithm is as good as, but no better than, any other when their performance is averaged over many problems and sets of training data.  .... "

Entangled Photon Breakthrough

 An intriguing link between such extent of entanglement and their use for specific kinds of problems. 

Researchers set 'ultrabroadband' record with entangled photons  by University of Rochester

Quantum entanglement—or what Albert Einstein once referred to as "spooky action at a distance"— occurs when two quantum particles are connected to each other, even when millions of miles apart. Any observation of one particle affects the other as if they were communicating with each other. When this entanglement involves photons, interesting possibilities emerge, including entangling the photons' frequencies, the bandwidth of which can be controlled.

Researchers at the University of Rochester have taken advantage of this phenomenon to generate an incredibly large bandwidth by using a thin-film nanophotonic device they describe in Physical Review Letters.

The breakthrough could lead to:

Enhanced sensitivity and resolution for experiments in metrology and sensing, including spectroscopy, nonlinear microscopy, and quantum optical coherence tomography

Higher dimensional encoding of information in quantum networks for information processing and communications

"This work represents a major leap forward in producing ultrabroadband quantum entanglement on a nanophotonic chip," says Qiang Lin, professor of electrical and computer engineering. "And it demonstrates the power of nanotechnology for developing future quantum devices for communication, computing, and sensing," ... '   

Usman A. Javid et al, Ultrabroadband Entangled Photons on a Nanophotonic Chip, Physical Review Letters (2021). DOI: 10.1103/PhysRevLett.127.183601   Journal information: Physical Review Letters 

(More technical information at the link)