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Category: quantum physics – Page 862
Change is good; looks like we’re about to re-review some existing simulation codes around Quantum Mechanic Simulation.
Researchers show that new generations of quantum mechanical simulation codes agree better than earlier generations’. The study appears in Science.
Several international scientists from over 30 universities and institutes teamed to investigate to what extent quantum simulations of material properties agree when they are performed by different researchers and with different software. Torbjörn Björkman from Åbo Akademi participated from Finland. Björkman has previously worked at COMP Centre of Excellende at Aalto University. “A group of researchers compared the codes, and the results we got were more precise than in any other calculations before,” he said.
The possibility to produce identical results in independent yet identical researches is a corner stone of science. Only in this way science can identify ‘laws’, which lead to new insights and new technologies. However, several recent studies have pointed out that such reproducibility does not always come spontaneously. Even predictions by computer codes require caution, since the way in which theoretical models are implemented may affect simulation results.
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Turning on Quantum properties onto a cup of coffee. First step; should be interesting in what researchers discover especially around teleporting. Imaging you’re Dominos pizza with a teleport hub and customer orders a pizza. No longer need a self driving car, or drone; with this technology Dominos can teleport your hot fresh pizza to your house immediately after it is out of the oven.
Small objects like electrons and atoms behave according to quantum mechanics, with quantum effects like superposition, entanglement and teleportation. One of the most intriguing questions in modern science is if large objects – like a coffee cup — could also show this behavior. Scientists at the TU Delft have taken the next step towards observing quantum effects at everyday temperatures in large objects. They created a highly reflective membrane, visible to the naked eye, that can vibrate with hardly any energy loss at room temperature. The membrane is a promising candidate to research quantum mechanics in large objects.
The team has reported their results in Physical Review Letters.
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Interesting — data compression algorithm can be applied to detect Quantum Entanglement.
The next time you archive some files and compress them, you might think about the process a little differently. Researchers at the National University of Singapore have discovered a common compression algorithm can be used to detect quantum entanglement. What makes this discovery so interesting is that it does not rely on heavily on an assumption that the measured particles are independent and identically distributed.
If you measure the property of a particle and then measure the same property of another particle, in classical mechanics there is no reason for them to match but pure chance. In quantum mechanics though, the two particles can be entangled, such that the results will match each other. This follows from Bell’s theorem, which is applied to test if particles are in fact entangled. The catch is that the theorem is derived for testing pairs of particles, but many pairs have to be measured and the probabilities they are entangled calculated. This is where the researchers’ discovery comes into play because instead of calculating probabilities, the measurements can be fed into the open-source Lempel-Ziv-Markov chain algorithm (LZMA) to get their normalized compression difference. Compression algorithms work by finding patterns in data and encoding them more efficiently, and in this case they also find correlations from quantum entanglement.
I too believe AI could be bigger in the future once the under pinning technology and infrastructure moves to Quantum Technology so that hacking is under control and performance is where it needs to be.
When Mark Zuckerberg thinks about the future, he sees a world that’s dominated by mobile devices and virtual reality, but when Google CEO Sundar Pichai thinks about the future, all he sees is artificial intelligence. He suggested as much during Alphabet’s quarterly earnings call on Thursday, saying that mobile devices and virtual reality will dominate the immediate future, but that they’ll eventually be surpassed in importance by artificial intelligence. However, he didn’t go into detail about what this future will look like.
Artificial intelligence is nothing new at Google, but today we learned just how big a role top boss Sundar Pichai sees AI playing in our future. Answering an analyst query on Google-parent company Alphabet’s Q1 2016 earnings call about how the company is leading innovation, rather than simply adapting to changes in technology, Pichai talked about his role in projecting where Alphabet is going in the next 10 years. He gave a shout out to VR as the hot new platform, and then wrapped up his comments by saying: “In the long run, I think we will evolve in computing from a mobile-first world to an AI-first world.” Earlier in the call he cited Google’s DeepMind AlphaGo super computer defeating a human champion as an extraordinary achievement. He also said the company is investing in AI and machine learning, areas that are taking off and beginning to bear real-world benefits.
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Very nice; Silicon based Quantum Laser has been achieved. Imagine what this does for ISPs and other communications. smile
A team of researchers from across the country, led by Alexander Spott, University of California, Santa Barbara, USA, have built the first quantum cascade laser on silicon. The advance may have applications that span from chemical bond spectroscopy and gas sensing, to astronomy and free-space communications.
Integrating lasers directly on silicon chips is challenging, but it is much more efficient and compact than coupling external laser light to the chips. The indirect bandgap of silicon makes it difficult to build a laser out of silicon, but diode lasers can be built with III-V materials such as InP or GaAs. By directly bonding an III-V layer on top of the silicon wafer and then using the III-V layers to generate gain for the laser, this same group has integrated a multiple quantum well laser on silicon that operates at 2 µm. Limitations in diode lasers prevent going to longer wavelengths where there are many more applications, so the group turned their attention to using quantum cascade lasers instead.
Building a quantum cascade laser on silicon was a challenging task made more difficult by the fact that silicon dioxide becomes heavily absorptive at longer wavelengths in the mid-infrared.
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