An award-winning scientist, engineer, and millionaire several times over predicted that by 2029, humans could start living forever.
That’s right. Immortality is almost here.
This ‘futurist’ has been frightening the masses with his predictions for years.
The human eye is an exquisite photodetection system with the ability to detect single photons. The process of vision is initiated by single-photon absorption in the molecule retinal, triggering a cascade of complex chemical processes that eventually lead to the generation of an electrical impulse. Here, we analyze the single-photon detection prospects for an architecture inspired by the human eye: field-effect transistors employing carbon nanotubes functionalized with chromophores. We employ non-equilibrium quantum transport simulations of realistic devices to reveal device response upon absorption of a single photon. We establish the parameters that determine the strength of the response such as the magnitude and orientation of molecular dipole(s), as well as the arrangements of chromophores on carbon nanotubes. Moreover, we show that functionalization of a single nanotube with multiple chromophores allows for number resolution, whereby the number of photons in an incoming light packet can be determined. Finally, we assess the performance prospects by calculating the dark count rate, and we identify the most promising architectures and regimes of operation.
D-Wave, the well-funded quantum computing company, today announced its next-gen quantum computing platform with 5,000 qubits, up from 2,000 in the company’s current system. The new platform will come to market in mid-2020.
The company’s new so-called Pegasus topology connects every qubit to 15 other qubits, up from six in its current topology. With this, developers can use the machine to solve larger problems with fewer physical qubits — or larger problems in general.
It’s worth noting that D-Wave’s qubits are different from those of the company’s competitors like Rigetti, IBM and Google, with shorter coherence times and a system that mostly focuses on solving optimization problems. To do that, D-Wave produces lots of qubits, but in a relatively high-noise environment. That means you can’t compare D-Wave’s qubit count to that of its competitors (with D-Wave claiming the superiority of its machine for certain problems), which are building universal quantum computers.
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For the first time, researchers have demonstrated a way to map and measure large-scale photonic quantum correlation with single-photon sensitivity. The ability to measure thousands of instances of quantum correlation is critical for making photon-based quantum computing practical.
In Optica, The Optica l Society’s journal for high impact research, a multi-institutional group of researchers reports the new measurement technique, which is called correlation on spatially-mapped photon-level image (COSPLI). They also developed a way to detect signals from single photons and their correlations in tens of millions of images.
“COSPLI has the potential to become a versatile solution for performing quantum particle measurements in large-scale photonic quantum computers,” said the research team leader Xian-Min Jin, from Shanghai Jiao Tong University, China. “This unique approach would also be useful for quantum simulation, quantum communication, quantum sensing and single-photon biomedical imaging.”
“A structure comprising a molybdenum disulfide monolayer on an azobenzene substrate could be used to build a highly compactable and malleable quasi-two-dimensional transistor powered by light.”
Journal Publication: https://journals.aps.org/…/abstr…/10.1103/PhysRevB.98.
Building a quantum computer requires reckoning with errors—in more than one sense. Quantum bits, or “qubits,” which can take on the logical values zero and one simultaneously, and thus carry out calculations faster, are extremely susceptible to perturbations. A possible remedy for this is quantum error correction, which means that each qubit is represented redundantly in several copies, such that errors can be detected and eventually corrected without disturbing the fragile quantum state of the qubit itself. Technically, this is very demanding. However, several years ago, an alternative proposal suggested storing information not in several redundant qubits, but rather in the many oscillatory states of a single quantum harmonic oscillator. The research group of Jonathan Home, professor at the Institute for Quantum Electronics at ETH Zurich, has now realised such a qubit encoded in an oscillator. Their results have been published in the scientific journal Nature.
Periodic oscillatory states
In Home’s laboratory, Ph.D. student Christa Flühmann and her colleagues work with electrically charged calcium atoms that are trapped by electric fields. Using appropriately chosen laser beams, these ions are cooled down to very low temperatures at which their oscillations in the electric fields, inside which the ions slosh back and forth like marbles in a bowl, are described by quantum mechanics as so-called wave functions. “At that point, things get exciting,” says Flühmann, who is first author of the Nature paper. “We can now manipulate the oscillatory states of the ions in such a way that their position and momentum uncertainties are distributed among many periodically arranged states.”
Many major advances in medicine, especially in neurology, have been sparked by recent advances in electronic systems that can acquire, process, and interact with biological substrates. These bioelectronic systems, which are increasingly used to understand dynamic living organisms and to treat human disease, require devices that can record body signals, process them, detect patterns, and deliver electrical or chemical stimulation to address problems.
With the price of a bitcoin surging to new highs in 2017, the bullish case for investors might seem so obvious it does not need stating. Alternatively it may seem foolish to invest in a digital asset that isn’t backed by any commodity or government and whose price rise has prompted some to compare it to the tulip mania or the dot-com bubble. Neither is true; the bullish case for Bitcoin is compelling but far from obvious. There are significant risks to investing in Bitcoin, but, as I will argue, there is still an immense opportunity.
Never in the history of the world had it been possible to transfer value between distant peoples without relying on a trusted intermediary, such as a bank or government. In 2008 Satoshi Nakamoto, whose identity is still unknown, published a 9 page solution to a long-standing problem of computer science known as the Byzantine General’s Problem. Nakamoto’s solution and the system he built from it — Bitcoin — allowed, for the first time ever, value to be quickly transferred, at great distance, in a completely trustless way. The ramifications of the creation of Bitcoin are so profound for both economics and computer science that Nakamoto should rightly be the first person to qualify for both a Nobel prize in Economics and the Turing award.
For an investor the salient fact of the invention of Bitcoin is the creation of a new scarce digital good — bitcoins. Bitcoins are transferable digital tokens that are created on the Bitcoin network in a process known as “mining”. Bitcoin mining is roughly analogous to gold mining except that production follows a designed, predictable schedule. By design, only 21 million bitcoins will ever be mined and most of these already have been — approximately 16.8 million bitcoins have been mined at the time of writing. Every four years the number of bitcoins produced by mining halves and the production of new bitcoins will end completely by the year 2140.
