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Quantum computing 101 — lesson 1: quantum models


Before reviewing in more detail the most promising experimental realisations of quantum information processors, I think it is useful to recap the basic concepts and most used models of quantum computing. In particular, the models, as the physical realisations mentioned in a previous post use different but equivalent computational models, which need to be understood to comprehend their implementations.

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Since QUESS has been online, China has been able to deliver the 1st set of programmable code, transmit communications back-and-forth from the satellite, and now they have been able to expand the memory capacity up to 100 Qubits. These are pretty big steps since the satellite has been in orbit on Tuesday.

BTW — the 1st 2 events are directly a result of QUESS; the 3rd advancement isn’t the result of QUESS and resulted after QUESS’ launch.


Although Chinese scientists said there is still a long way to go before any ultrapowerful machine can be developed, progress has been made in terms of quantum memory technology, which is a key component to quantum computing and quantum communication.

On Tuesday, China launched the world’s first quantum experimental satellite in an attempt to build a space-based quantum communication network.

Zhou Zongquan, a scientist in the field, told China Daily that following the breakthrough in 2011 when scientists at the University of Science and Technology of China developed the world’s first quantum memory of 1 quantum bit, or qubit, they have now developed a memory of 100 qubits.

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Imagine this scenario: Annual physical examinations are supplemented by an affordable home diagnostic chip, allowing you to regularly monitor your baseline health with just a simple urine sample. Though outwardly you appear to be in good health, the device reveals a fluctuation in your biomarker profile, indicating the possible emergence of early stage cancer development or presence of a virus.

Diagnostic devices like a home pregnancy test have been around since the 1970s. It revolutionized a woman’s ability to find out if she was pregnant without having to wait for a doctor’s appointment to confirm her suspicions. The test relies on detecting a hormone, human chorionic gonadotropin, present in urine. But could detecting cancer, or a deadly virus, from a similar kind of sample and device be as simple and non-invasive?

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Experiments confirm the existence of 1-micrometer-sized molecules made of two cesium atoms by showing that their binding energies agree with predictions.

Strongly bound diatomic molecules such as H2H2or O2O2 are less than a nanometer across. Surprisingly, scientists have been able to create two-atom molecules more than a thousand times larger by using exotic atoms that attract one another only very weakly. Now, a pair of physicists have calculated what makes these “macrodimers” stable, and they have verified their predictions by creating micrometer-sized molecules containing two cesium atoms. The macrodimers could have applications in quantum computing.

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The blog take away: How is the key frequency of beta oxidation made in a mitochondria?Most people believe fat burning via beta oxidation is a fuel mediated mechanism but Dr. Doug Wallace’s data strongly suggests it is linked to the vibration state of the inner mitochondrial membrane. If so, how is the sun’s photoelectric abilities critical to this mechanism in mitochondria? Watch the video in the hyperlink closely from 50:00 – 59:00 for the clue.

Hyperlink

Water surrounds each mitochondria in a cell with its MINOS layer. It is adjacent to the cytochrome 1 complex. Water has a high dielectric constant. It is 78 in bulk water, to be exact, Why is that critical? Well cytochrome one has a redox Fe-S couple that acts like a semiconductor for electrons. Electrons act differently in a semiconductor than they do when they are not captured by one. How much do you know about semiconductor integrated circuits? In a typical network in an integrated circuit, each network will include at least one driver, which must contain a source or drain diffusion and at least one receiver. This set up will consist of a gate electrode over a thin gate dielectric (look for a view of a MOS transistor on line if you’re unsure of this arrangement to get a visual.)

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(Phys.org)—When you hear a sound, only some of the neurons in the auditory cortex of your brain are activated. This is because every auditory neuron is tuned to a certain range of sound, so that each neuron is more sensitive to particular types and levels of sound than others. In a new study, researchers have designed a neuromorphic (“brain-inspired”) computing system that mimics this neural selectivity by using artificial level-tuned neurons that preferentially respond to specific types of stimuli.

In the future, level-tuned neurons may help enable systems to perform tasks that traditional computers cannot, such as learning from their environment, pattern recognition, and knowledge extraction from big data sources.

The researchers, Angeliki Pantazi et al., at IBM Research-Zurich and École Polytechnique Fédérale de Lausanne, both in Switzerland, have published a paper on the new neuromorphic architecture in a recent issue of Nanotechnology.

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As I highlighted earlier, we now understand more about the telescope announcement 3 months ago and its tie with the Quantum Satellite. Also, we are aware of China’s efforts to be the world leader of tech as they have proven in Pharmaceuticals (namely the generic brand market). Space is another area they have passion due to the opportunities in mining rare and raw materials, etc. Things are getting extremely interesting for sure.

BTW — the balance of tech power is changing; and we could see soon a day that folks look towards China stating the future of tech v. SV.


In 2016, with headlines announcing yesterday’s launch of the first quantum computer to the completion of the world’s largest radio telescope, China is emerging as the new science super power, opening portals to new and uncharted territory with some of the world’s most powerful and costly research hardware at their disposal.

From time to time, the Singularity Hub editorial team unearths a gem from the archives and wants to share it all over again. It’s usually a piece that was popular back then and we think is still relevant now. This is one of those articles. It was originally published August 10, 2010. We hope you enjoy it!

You don’t have a flying car, jetpack, or ray gun, but this is still the future. How do I know? Because we’re all surrounded by artificial intelligence. I love when friends ask me when we’ll develop smart computers…because they’re usually holding one in their hands. Your phone calls are routed with artificial intelligence.

Every time you use a search engine you’re taking advantage of data collected by ‘smart’ algorithms. When you call the bank and talk to an automated voice you are probably talking to an AI…just a very annoying one. Our world is full of these limited AI programs which we classify as “weak” or “narrow” or “applied.”

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