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Archive for the ‘quantum physics’ category: Page 731

Oct 31, 2016

Why the Many-Worlds Formulation of Quantum Mechanics Is Probably Correct

Posted by in categories: mobile phones, quantum physics

I have often talked about the Many-Worlds or Everett approach to quantum mechanics — here’s an explanatory video, an excerpt from From Eternity to Here, and slides from a talk. But I don’t think I’ve ever explained as persuasively as possible why I think it’s the right approach. So that’s what I’m going to try to do here. Although to be honest right off the bat, I’m actually going to tackle a slightly easier problem: explaining why the many-worlds approach is not completely insane, and indeed quite natural. The harder part is explaining why it actually works, which I’ll get to in another post.

Any discussion of Everettian quantum mechanics (“EQM”) comes with the baggage of pre-conceived notions. People have heard of it before, and have instinctive reactions to it, in a way that they don’t have to (for example) effective field theory. Hell, there is even an app, universe splitter, that lets you create new universes from your iPhone. (Seriously.) So we need to start by separating the silly objections to EQM from the serious worries.

The basic silly objection is that EQM postulates too many universes. In quantum mechanics, we can’t deterministically predict the outcomes of measurements. In EQM, that is dealt with by saying that every measurement outcome “happens,” but each in a different “universe” or “world.” Say we think of Schrödinger’s Cat: a sealed box inside of which we have a cat in a quantum superposition of “awake” and “asleep.” (No reason to kill the cat unnecessarily.) Textbook quantum mechanics says that opening the box and observing the cat “collapses the wave function” into one of two possible measurement outcomes, awake or asleep. Everett, by contrast, says that the universe splits in two: in one the cat is awake, and in the other the cat is asleep. Once split, the universes go their own ways, never to interact with each other again.

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Oct 30, 2016

Quantum Liquid on Bismuth Crystal Could Lead to Faster Electronics

Posted by in categories: computing, quantum physics

Luv this!


In Brief:

  • Researchers have demonstrated how electrons travel on different elliptical paths by using a quantum crystal kept at low temperatures.
  • The discovery could lead to a new class of microchips far beyond the capabilities of today’s silicon chips.

New developments from Princeton University and the University of Texas-Austin have revealed odd behavior in electrons that could lay the foundation for a new generation of faster microchips, according to a study published in Science.

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Oct 30, 2016

Quantum Teleportation Across The Dark Web

Posted by in categories: encryption, internet, quantum physics

Get Ready Folks! Imagine a QC DarkNet as it will too come.


Quantum teleportation brings to mind Star Trek’s transporter, where crew members are disassembled in one location to be reassembled in another. Real quantum teleportation is a much more subtle effect where information is transferred between entangled quantum states. It’s a quantum trick that could give us the ultimate in secure communication. While quantum teleportation experiments have been performed countless times in the lab, doing it in the real world has proved a bit more challenging. But a recent experiment using a dark fibre portion of the internet has brought quantum teleportation one step closer to real world applications.

The backbone of the internet is a network of optical fibre. Everything from your bank transactions to pictures of your cat travel as beams of light through this fibre network. However there is much more fibre that has been laid than is currently used. This unused portion of the network is known as dark fibre. Other than not being currently used, the dark fiber network has the same properties as the web we currently use. This new experiment used a bit of this dark web in Calgary to teleport a photon state under real world conditions.

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Oct 29, 2016

How Smart Beta ETFs of the Future Will Use AI

Posted by in categories: bioengineering, biological, computing, economics, finance, information science, quantum physics, robotics/AI

Anyone who does not have QC as part of their 5+Yr Roadmap for IT are truly exposing their company as well as shareholders and customers. China, Russia, Cartels, DarkNet, etc. will use the technology to extort victims, destroy companies, economies, and complete countries where folks have not planned, budget, skilled up, and prep for full replacement of their infrastructure and Net access. Not to mention companies who have this infrastructure will provide better services/ CCE to svc. consumers.


In a recent article, we highlighted a smart beta ETF called the “Sprott BUZZ Social Media Insights ETF” that uses artificial intelligence (AI) to select and weight stocks. If we stop and think about that for a moment, that’s a pretty cool use of AI that seems well ahead of its time. Now we’re not saying that you should go out and buy this smart beta ETF right away. It uses social media data. We know that on social media, everyone’s an expert and many of the opinions that are stated are just that, opinions. However some of the signals may be legitimate. Someone who just bought Apple is likely to go on telling everyone how bullish they are on Apple shares. Bullish behavior is often accompanied by bullish rhetoric. And maybe that’s exactly the point, but the extent to which we’re actually using artificial intelligence here is not that meaningful. Simple scripting tools go out and scrape all this public data and then we use natural language processing (NLP) algorithms to determine if the data artifacts have a positive or negative sentiment. That’s not that intelligent, is it? This made us start to think about what it would take to create a truly “intelligent” smart beta ETF.

What is Smart Beta?

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Oct 29, 2016

The Nine Billion Names Of God

Posted by in categories: information science, mathematics, particle physics, quantum physics

Quantum theory is strange and counterintuitive, but it’s very precise. Lots of analogies and broad concepts are presented in popular science trying to give an accurate description of quantum behavior, but if you really want to understand how quantum theory (or any other theory) works, you need to look at the mathematical details. It’s only the mathematics that shows us what’s truly going on.

Mathematically, a quantum object is described by a function of complex numbers governed by the Schrödinger equation. This function is known as the wavefunction, and it allows you to determine quantum behavior. The wavefunction represents the state of the system, which tells you the probability of various outcomes to a particular experiment (observation). To find the probability, you simply multiply the wavefunction by its complex conjugate. This is how quantum objects can have wavelike properties (the wavefunction) and particle properties (the probable outcome).

No, wait. Actually a quantum object is described by a mathematical quantity known as a matrix. As Werner Heisenberg showed, each type of quantity you could observe (position, momentum, energy) is represented by a matrix as well (known as an operator). By multiplying the operator and the quantum state matrix in a particular way, you get the probability of a particular outcome. The wavelike behavior is a result of the multiple connections between states within the matrix.

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Oct 29, 2016

FUNCTION FOLLOWS FORM in the Quantum world, with a NEW splitting and pairing massless Black Hole

Posted by in categories: cosmology, quantum physics

Perfect for Halloween — the big Pumpkin Star story.


According to Quantum FFF Theory, stars are formed between dual new physics black holes called Herbig Haro pressure cookers.

The dual black holes can have different sizes and different capacities to produce different sized stars.

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Oct 29, 2016

New Evidence for the Existence of Majorana Fermions Has Been Uncovered

Posted by in categories: computing, particle physics, quantum physics

In Brief:

  • 80 years after it was first theorized, researchers have found more evidence for the existence of a fermion that’s its own antiparticle.
  • The discovery of Majorana fermions could be the key to developing usable quantum computers.

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Oct 28, 2016

First IEEE Conference on Rebooting Computing Focuses on Neuromorphic and Quantum Designs

Posted by in categories: computing, neuroscience, quantum physics

I hope I get invited to speak. Would love to.


Researchers discuss how to make machines more like the human brain—and faster and more energy-efficient.

By MONICA ROZENFELD 28 October 2016

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Oct 26, 2016

Super-Cool Quantum Research Lab Heads to Space

Posted by in categories: particle physics, quantum physics, space

Just WOW!


PULLMAN, Wash., Oct. 26 — Washington State University and NASA scientists are set to begin an investigation into the strange world of quantum physics on the International Space Station.

WSU physicists Peter Engels and Maren Mossman are part of a team studying the behavior of atoms laser-cooled to temperatures just a few billionths of a degree above absolute zero, the point where they behave like one wave of discrete particles.

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Oct 26, 2016

Quantum Bit MRI Machine to See Shapes of Individual Biomolecules for Drug Research

Posted by in categories: biotech/medical, computing, particle physics, quantum physics

Drug discovery is a long and difficult process that requires a comprehensive understanding of the molecular structures of compounds under investigation. It’s difficult to have an idea of the precise shape of complex molecules such as proteins, but researchers at University of Melbourne in Australia have come up with a way of seeing the location of individual atoms within biomolecules.

Using quantum bits, most notably utilized in quantum computer research, the investigators offer a way of producing a magnetic resonance sensor and a magnetic field gradient that can work as a tiny MRI machine. The machine would have the resolution capable of seeing single atoms components of larger molecules. This MRI machine has yet to be actually built, but the steps have been laid out based on comprehensive theoretical work. If it proves successful in practice, the technology may overcome current imaging techniques that rely on statistical averages and don’t work well on molecules that don’t crystallize well.

“In a conventional MRI machine large magnets set up a field gradient in all three directions to create 3D images; in our system we use the natural magnetic properties of a single atomic qubit,” said lead author of the research Viktor Perunicic. “The system would be fabricated on-chip, and by carefully controlling the quantum state of the qubit probe as it interacts with the atoms in the target molecule, we can extract information about the positions of atoms by periodically measuring the qubit probe and thus create an image of the molecule’s structure.”

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