Faster than light. In nothingness…

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It has long been known that charged particles, such as electrons and protons, produce the electromagnetic equivalent of a sonic boom when their speeds exceed that of photons in the surrounding medium. This effect, known as Cherenkov emission, is responsible for the characteristic blue glow from water in a nuclear reactor, and is used to detect particles at the CERN Large Hadron Collider.

According to Einstein, nothing can travel faster than light in vacuum. Because of this, it is usually assumed that the Cherenkov emission cannot occur in vacuum. But according to quantum theory, the vacuum itself is packed full of “virtual particles,” which move momentarily in and out of existence.

These ghostly particles are usually not observable but, in the presence of extremely strong electric and magnetic fields, they can turn the vacuum into an optical medium where the speed of light is slowed down so that high velocity charged particles can emit Cherenkov gamma rays. This is totally unexpected in a vacuum.

A group of Physics researchers at Strathclyde have found that in extreme conditions, such as found at the focus of the world’s most powerful lasers, and the huge magnetic fields around neutron stars, this ‘polarised’ vacuum can slow down gamma rays just enough for Cherenkov emission to occur. (1)

In the cosmos of phenomena, even nothing is not real.

And in the void of existence, something will always be.

In a universe ruled by light, things still travel faster than it.

Defying the rules. For the only rule is that there are no rules.

In a cosmos of being, everything can and will exist.

Only to show that being is defining the definitions.

Watch that particle travel faster than light.

It is not traveling at all, you know.

You are…

Ask it and it will tell you. It is standing still.

Watching you traveling faster than light…

And yet, it makes the same mistake as you did.

It never asked you whether you feel running…

Longevity. Xenon 124. Universe.

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Theory predicts the isotope’s radioactive decay has a half-life that surpasses the age of the universe “by many orders of magnitude,” but no evidence of the process has appeared until now.

An international team of physicists that includes three Rice University researchers – assistant professor Christopher Tunnell, visiting scientist Junji Naganoma and assistant research professor Petr Chaguine – have reported the first direct observation of two-neutrino double electron capture for xenon 124, the physical process by which it decays. Their paper appears this week in the journal Nature.

While most xenon isotopes have half-lives of less than 12 days, a few are thought to be exceptionally long-lived, and essentially stable. Xenon 124 is one of those, though researchers have estimated its half-life at 160 trillion years as it decays into tellurium 124. The universe is presumed to be merely 13 to 14 billion years old.

The new finding puts the half-life of Xenon 124 closer to 18 sextillion years. (For the record, that’s 18,000,000,000,000,000,000,000.) (1)

We look up to the universe.

We admire the cosmos in awe.

But the cosmos is nothing more than the shell.

What is in it, is important.

Even particles can outlive the universe.

What matters is what cannot.

One day we will discover how huge the cosmos really is.

One day we will know how tiny we actually are.

And only then, will we understand that we were wrong.

About how significant we are.

Especially because we are not…

Quantum computers: Meet my new computer. Different than the old computer…

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In theory, quantum computers can do anything that a classical computer can. In practice, however, the quantumness in a quantum computer makes it nearly impossible to efficiently run some of the most important classical algorithms.

The traditional grade-school method for multiplication requires n^2 steps, where n is the number of digits of the numbers you’re multiplying. For millennia, mathematicians believed there wasn’t a more efficient approach.

But in 1960 mathematician Anatoly Karatsuba found a faster way. His method involved splitting long numbers into shorter numbers. To multiply two eight-digit numbers, for example, you would first split each into two four-digit numbers, then split each of these into two-digit numbers. You then do some operations on all the two-digit numbers and reconstitute the results into a final product. For multiplication involving large numbers, the Karatsuba method takes far fewer steps than the grade-school method.

When a classical computer runs the Karatsuba method, it deletes information as it goes. For example, after it reconstitutes the two-digit numbers into four-digit numbers, it forgets the two-digit numbers. All it cares about is the four-digit numbers themselves. But quantum computers can’t shed (forget) information.

Quantum computers perform calculations by manipulating “qubits” which are entangled with one another. This entanglement is what gives quantum computers their massive power, but it is the same property that makes (made) it impossible for them to run some algorithms which classical computers can execute with ease. It was only until some years ago that Craig Gidney, a software engineer at Google AI Quantum in Santa Barbara, California, described a quantum version of the Karatsuba algorithm. (1)

Think. Forget. Move on. Think again…

Know everything.

And you will need to forget.

Forget so that you can learn.

So that you know it all.

The path to light, passes through alleys of darkness.

And trusting the light can only lead to darkness, when the Sun sets down.

You need the Moon.

For it is only there, that you can see your eyes reflected…

Upon the silvery calm lake…

Sun breathing fire.

Light reflected on the Moon…

Cold light reflected on water…

Light passing through your eyes.

In the dead of the night,

You realize that you knew the Sun.

Stand still enough…

And you will listen to the cosmos being born…

Non-water. Inside the dead forest.

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Led by Professors Raffaele Mezzenga and Ehud Landau, a group of physicists and chemists from ETH Zurich and the University of Zurich have identified an unusual way to prevent water from forming ice crystals, so even at extreme sub-zero temperatures it retains the amorphous characteristics of a liquid.

In a first step, the researchers designed and synthesized a new class of lipids (fat molecules) to create a new form of “soft” biological matter known as a lipidic mesophase, by mixing those lipids with water. In the newly created material, the lipids spontaneously self-assemble and aggregate to form membranes. These membranes form a network of connected channels less than one nanometer in diameter. In this structure, there is no room in the narrow channels for water to form ice crystals, so it remains disordered even at extreme sub-zero temperatures. The lipids do not freeze either.

Using liquid helium, the researchers were able to cool a lipidic mesophase consisting of a chemically modified monoacylglycerol to a temperature as low as minus 263 degrees Celsius, which is a mere 10 degrees above the absolute zero temperature, and still no ice crystals formed. (1)

Water freezes at zero degrees.

Unless you mix it with something else.

But then, it is not water.

And it can freeze at lower temperatures.

Everything is what it is.

But it can change to something else.

At the end, all things freeze at the same temperature.

If they are the same.

Or at different. If they are not.

Nature doesn’t care.

In the deepest cold…

Under the heat of the summer sun…

There are no temperatures.

Just things which boil and freeze.

There are many paths inside the forest of existence.

Do you care about how Achilles will reach the turtle?


There is nothing to compare anything with.

For everything is connected with everything.

And all measurements are just reflections in the mirror.


At the end you will be in the clearing…

Only to realize that the clearing is you.

Consumed by fire.

Breathing cold air…

Predict. What you can never understand…

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Artificial intelligence can predict premature death, according to a study.

Computers which are capable of teaching themselves to predict premature death could greatly improve preventative healthcare in the future, suggests a new study by experts at the University of Nottingham.

The team of healthcare data scientists and doctors have developed and tested a system of computer-based ‘machine learning’ algorithms to predict the risk of early death due to chronic disease in a large middle-aged population. (1)

Computers predicting what they can never understand.

Is there any other way?

We can only predict what we do not know.

Look at the flower.

Smell the wind.

Feel the rain falling…

You will never predict them.

And yet, you smile.

Only because you know all there is to know about them…