{"id":23240,"date":"2021-06-21T09:20:38","date_gmt":"2021-06-21T15:20:38","guid":{"rendered":"https:\/\/otech.uaeh.edu.mx\/noti\/?p=23240"},"modified":"2021-06-21T09:26:12","modified_gmt":"2021-06-21T15:26:12","slug":"quantum-computers-are-already-detangling-natures-mysteries","status":"publish","type":"post","link":"https:\/\/otech.uaeh.edu.mx\/noti\/computacion-cuantica\/quantum-computers-are-already-detangling-natures-mysteries\/","title":{"rendered":"Quantum computers are already detangling nature\u2019s mysteries"},"content":{"rendered":"<div class=\"grid grid-margins grid-items-2 grid-layout--adrail narrow wide-adrail\">\n<div class=\"grid--item body body__container article__body grid-layout__content\">\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><strong>THE LITHIUM-ION BATTERY<\/strong>\u00a0is the unsung hero of the modern world. Since it was first commercialised in the early 1990s, it has transformed the technology industry with its ability to store huge amounts of energy in a relatively small amount of space. Without lithium, there would be no iPhone or Tesla \u2013 and your laptop would be a lot bigger and heavier.<!--more--><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">But the world is\u00a0<a style=\"color: #000000;\" href=\"https:\/\/www.wired.co.uk\/article\/smartphone-battery-life-lithium-ion-future\">running out of this precious metal<\/a>\u00a0\u2013 and it could prove to be a huge bottleneck in the development of electric vehicles, and the energy storage solutions we\u2019ll need to switch to renewables. Some of the world\u2019s top scientists are engaged in a frantic race to find new battery technologies that can replace lithium-ion with something cleaner, cheaper and more plentiful. Quantum computers could be their secret weapon.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">It\u2019s a similar story in agriculture, where up to five per cent of the world\u2019s consumption of natural gas is used in the Haber-Bosch process, a century-old method for turning nitrogen in the air into ammonia-based fertiliser for crops. It\u2019s hugely important \u2013 helping sustain about 40 per cent of the world\u2019s population \u2013 but also incredibly inefficient compared to nature\u2019s own methods. Again, quantum computers could provide the answer.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">So far, researchers have been working on these problems with blunt tools. They can perform increasingly powerful simulations using classical devices, but the more complicated the reactions get, the harder they become for supercomputers to handle. This means that right now, scientists are limited to looking only at very small problems, or they are forced to sacrifice accuracy for speed.<\/span><\/p>\n<div class=\"sc-khIimk cGCtqI callout--has-top-border\" style=\"text-align: justify;\" data-testid=\"GenericCallout\" data-event-boundary=\"click\" data-event-click=\"{&quot;pattern&quot;:&quot;GenericCallout&quot;}\" data-in-view=\"{&quot;pattern&quot;:&quot;GenericCallout&quot;}\" data-include-experiments=\"true\">\n<aside class=\"sc-TXRkg bCxNGp\" data-testid=\"SidebarEmbed\" data-event-boundary=\"click\" data-event-click=\"{&quot;pattern&quot;:&quot;SidebarEmbed&quot;}\" data-in-view=\"{&quot;pattern&quot;:&quot;SidebarEmbed&quot;}\" data-include-experiments=\"true\">\n<figure class=\"sc-iKUVsf bmsCqT asset-embed\">\n<div class=\"asset-embed__asset-container\"><span class=\"responsive-asset sc-hoPuav liDpdV asset-embed__responsive-asset\" style=\"color: #000000;\"><picture class=\"sc-ezzafa ciMrnO sc-gLMgcV EJLaQ asset-embed__responsive-asset responsive-image\"><img decoding=\"async\" class=\"responsive-image__image\" src=\"https:\/\/media.wired.co.uk\/photos\/60c87430edeb9d79d47f89f8\/master\/w_1600%2Cc_limit\/Quantum%252520Computing%252520(1).png\" sizes=\"100vw\" srcset=\"https:\/\/media.wired.co.uk\/photos\/60c87430edeb9d79d47f89f8\/master\/w_1600%2Cc_limit\/Quantum%252520Computing%252520(1).png 1600w, https:\/\/media.wired.co.uk\/photos\/60c87430edeb9d79d47f89f8\/master\/w_1280%2Cc_limit\/Quantum%252520Computing%252520(1).png 1280w, https:\/\/media.wired.co.uk\/photos\/60c87430edeb9d79d47f89f8\/master\/w_1024%2Cc_limit\/Quantum%252520Computing%252520(1).png 1024w, https:\/\/media.wired.co.uk\/photos\/60c87430edeb9d79d47f89f8\/master\/w_768%2Cc_limit\/Quantum%252520Computing%252520(1).png 768w, https:\/\/media.wired.co.uk\/photos\/60c87430edeb9d79d47f89f8\/master\/w_640%2Cc_limit\/Quantum%252520Computing%252520(1).png 640w\" alt=\"Quantum computers are already detangling natures mysteries\" \/><\/picture><\/span><\/div>\n<\/figure>\n<div class=\"heading-h5\" role=\"heading\" aria-level=\"5\"><\/div>\n<div class=\"heading-h5\" role=\"heading\" aria-level=\"5\"><span style=\"color: #000000;\">What is quantum computing? How does it work? How will it change the world?\u00a0<a class=\"external-link\" style=\"color: #000000;\" href=\"https:\/\/www.penguin.co.uk\/books\/112\/1120649\/quantum-computing--wired-guides-\/9781847943262.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/www.penguin.co.uk\/books\/112\/1120649\/quantum-computing--wired-guides-\/9781847943262.html&quot;}\">Get the WIRED guide now<\/a>.<\/span><\/div>\n<\/aside>\n<\/div>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">A hydrogen atom, for instance, has one positively charged proton and one electron and is easy to simulate on a laptop \u2013 you could even work out its chemistry by hand. Helium, next step along on the periodic table, has two protons, orbited by two negatively charged electrons \u2013 but it\u2019s more challenging to simulate, because the electrons are entangled, so the state of one is linked to the state of the other, which means they all need to be calculated simultaneously.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">By the time you get to thulium \u2013 which has 69 orbiting electrons, all entangled with each other \u2013 you\u2019re far beyond the capability of classical computers. If you wrote down one of each of the possible states of thulium per second it would take 20 trillion years \u2013 more than a thousand times the age of the universe. In his 2013 book\u00a0<em>Schr\u00f6dinger\u2019s Killer App<\/em>, John Dowling calculates that to simulate thulium on a classical computer, you would need to buy up Intel\u2019s entire worldwide production of chips for the next 1.5 million years, at a cost of some $600 trillion.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">A much quicker alternative would be to simply measure the atom directly. \u201cClassical computers seem to experience an exponential slowdown when put to simulating entangled quantum systems,\u201d Dowling writes.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">\u201cYet, that same entangled quantum system shows no exponential slowdown when simulating itself. The entangled quantum system acts like a computer that is exponentially more powerful than any classical computer.\u201d Although we\u2019ve known all the equations we need to simulate chemistry since the 1930s, we\u2019ve never had the computing power available to do it. This means that often, when dealing with complex simulations that are intractable for classical computers, the best approach is still to simply try lots of different things in the real world and draw conclusions from observation and experiment.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">\u201cWe can\u2019t really predict how electrons are going to behave right now,\u201d says Zapata\u2019s Christopher Savoie. \u201cIf we can get into a world where we\u2019re simulating it on a computer, we can be more predictive and do fewer actual laboratory experiments.\u201d It is, he says, as if Airbus were still testing planes by building small-scale models and throwing them into the sky. \u201cYou cannot simulate chemical processes that you\u2019re interested in,\u201d says Google\u2019s Sergio Boixo. \u201cWith a lot of the low-level materials science and engineering, you\u2019re kind of bost Popular<\/span><\/p>\n<\/div>\n<\/div>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">To crack these problems, and lots of others like them, chemists, biologists and physicists need to simulate nature \u2013 and, exactly as Richard Feynman predicted back in the 1980s, they need computers made from quantum components to help them. In a way, you can think of a quantum computer as a programmable molecule, says Boixo\u2019s Google colleague Marissa Giustina. \u201cIt\u2019s a system of many parts that behaves according to the rules of quantum mechanics, like a molecule. You see a path to connect from there to actually programming chemistry in some senses.\u201d<\/span><\/p>\n<div class=\"grid grid-margins grid-items-2 grid-layout--adrail narrow wide-adrail\" style=\"text-align: justify;\">\n<div class=\"grid--item body body__container article__body grid-layout__content\">\n<figure class=\"sc-iKUVsf bmsCqT asset-embed\">\n<div class=\"asset-embed__asset-container\"><span class=\"responsive-asset sc-hoPuav liDpdV asset-embed__responsive-asset\" style=\"color: #000000;\"><picture class=\"sc-ezzafa ciMrnO sc-gLMgcV EJLaQ asset-embed__responsive-asset responsive-image\"><img decoding=\"async\" class=\"responsive-image__image\" src=\"https:\/\/media.wired.co.uk\/photos\/60c7872e34270c905af4a1f5\/master\/w_1600%2Cc_limit\/0506FTQuantum07.jpg\" sizes=\"100vw\" srcset=\"https:\/\/media.wired.co.uk\/photos\/60c7872e34270c905af4a1f5\/master\/w_1600%2Cc_limit\/0506FTQuantum07.jpg 1600w, https:\/\/media.wired.co.uk\/photos\/60c7872e34270c905af4a1f5\/master\/w_1280%2Cc_limit\/0506FTQuantum07.jpg 1280w, https:\/\/media.wired.co.uk\/photos\/60c7872e34270c905af4a1f5\/master\/w_1024%2Cc_limit\/0506FTQuantum07.jpg 1024w, https:\/\/media.wired.co.uk\/photos\/60c7872e34270c905af4a1f5\/master\/w_768%2Cc_limit\/0506FTQuantum07.jpg 768w, https:\/\/media.wired.co.uk\/photos\/60c7872e34270c905af4a1f5\/master\/w_640%2Cc_limit\/0506FTQuantum07.jpg 640w\" alt=\"A Microsoft engineer assembles the 'chandelier' of a quantum computer cryostat\" \/><\/picture><\/span><\/div><figcaption class=\"sc-pNWdM sc-bYwzuL dicebs cmuDoC caption sc-hHSjgo dzgnFm asset-embed__caption\" data-event-boundary=\"click\" data-event-click=\"{&quot;pattern&quot;:&quot;Caption&quot;}\" data-in-view=\"{&quot;pattern&quot;:&quot;Caption&quot;}\" data-include-experiments=\"true\"><span style=\"color: #000000;\">A Microsoft engineer assembles the &#8216;chandelier&#8217; of a quantum computer cryostat<\/span><span style=\"color: #000000;\"><span class=\"sc-pNWdM sc-jrsJWt sc-kLojOw lfZoIg dgTbSQ fAmhRl caption__text\">\u00a0<\/span><span class=\"sc-pNWdM sc-jrsJWt sc-iklJeh lfZoIg hkkUeV kqNuEy caption__credit\">JASON KOXVOLD<\/span><\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\"><strong>IN 2010, AL\u00c1N ASPURU-GUZIK<\/strong>\u00a0\u2013 a professor of chemistry and computer science, and a co-founder of Zapata \u2013 teamed up with the quantum physicist Andrew White from the University of Melbourne and others to run one of the first ever quantum chemistry simulations. They picked dihydrogen \u2013 a pretty easy molecule, as it goes, and certainly not something that would pose any problems to a classical computer, or even to a physicist with a pen and some paper.<\/span><\/p>\n<p><span style=\"color: #000000;\">Dihydrogen \u2013 which is just two hydrogen atoms joined together \u2013 was first analysed using the then-new science of quantum mechanics back in 1927. The aim, at this point, was simply to show that quantum computers could be used for this kind of calculation \u2013 a proof of concept. Their quantum simulation, which ran on a photon-based quantum device, was able to correctly calculate the strength of the bond between the hydrogen atoms, accurate to six parts in a million.<\/span><\/p>\n<p><span style=\"color: #000000;\">There are three ways in which quantum computers can help improve our understanding of reactions at the molecular level. The first approach involves building a specific computer to model the problem you\u2019re trying to solve \u2013 physically recreating the molecule with the right number of qubits corresponding to its actual structure. This kind of machine would be simpler to build, but wouldn\u2019t be a computer in the traditional sense \u2013 you wouldn\u2019t be able to easily reprogram it to tackle different problems.<\/span><\/p>\n<p><span style=\"color: #000000;\">The second approach involves implementing algorithms that show how a system changes over time. You input the current state of the system, in the form of its wave function, and the level of energy in the system (known as its Hamiltonian, after the mathematician Sir William Rowan Hamilton) and watch it play out over time. These \u2018Hamiltonian simulations\u2019, as they\u2019re generally known, have a huge array of potential uses, and could be particularly useful in understanding and predicting complex reactions involving molecules like thulium, where the electrons are highly correlated.<\/span><\/p>\n<\/div>\n<\/div>\n<div class=\"grid grid-margins grid-items-2 grid-layout--adrail narrow wide-adrail\" style=\"text-align: justify;\">\n<div class=\"grid--item body body__container article__body grid-layout__content\">\n<p><span style=\"color: #000000;\">There are a number of active problems like this where classical computers currently struggle, and where quantum computers promise an exponential speed-up. Chemistry challenges just waiting for a quantum computer powerful and reliable enough to crack them range from the extraction of metals by catalysis through to carbon dioxide fixation, which could be used to capture emissions and slow climate change. But the one with the potential for the biggest impact might be fertiliser production. Plants need a healthy supply of nitrogen to grow. The air is full of it, but plants can\u2019t actually pull it from the sky themselves, so farmers have to supplement their crops with nitrogen-rich fertiliser produced using the energy-intensive Haber-Bosch process. Forty per cent of the carbon footprint of a loaf of bread comes from producing the nitrogen to make the fertiliser to grow the wheat.<\/span><\/p>\n<p><span style=\"color: #000000;\">But nature has its own method. Some plants rely on bacteria which use an enzyme called nitrogenase to \u2018fix\u2019 nitrogen from the atmosphere and incorporate it into ammonia. Understanding how this enzyme works would be an important step towards improving the Haber-Bosch process and creating less energy-intensive synthetic fertilisers.<\/span><\/p>\n<p><span style=\"color: #000000;\">Key to solving that problem is understanding the structure of FeMoco, a complex molecule at the heart of the enzyme that\u2019s too difficult for classical computers to model. In 2017, a research team from Microsoft and ETH Zurich demonstrated that a quantum computer with a hundred logical qubits could solve this problem \u2013 but acknowledged that they would need up to a million physical qubits to form them.<\/span><\/p>\n<p><span style=\"color: #000000;\">Another area where Hamiltonian simulations could prove useful is in understanding how plants use the power of the sun. In plants, Photosystem II is a huge, intricate complex of different enzymes that carries out some of the first steps of photosynthesis. Using quantum computers to model the process could help chemists design methods of artificial photosynthesis, enabling them to harness the sun\u2019s power to make fuel.<\/span><\/p>\n<p><span style=\"color: #000000;\">Solar panels are another area where quantum computers could help, by accelerating the search for new materials. This approach could also help to identify new materials for batteries, and superconductors that work at room temperature, which would drive advances in motors, magnets and perhaps even quantum computers themselves.<\/span><\/p>\n<p><span style=\"color: #000000;\">Zapata is working on a method of finding new materials that uses generative modelling \u2013 similar to its work on providing data for machine learning from a small set of real-world data. \u201cIf we have a sample of a hundred things, we can use generative modelling to create things that are similar,\u201d Savoie explains. \u201cWe can use this to do screening of chemical libraries, or to create virtual chemical libraries to find new compounds.\u201d<\/span><\/p>\n<p><span style=\"color: #000000;\">The ability to potentially identify new compounds is one reason why the medical industry is excited about quantum computing. We have already seen how quantum computers should be able to process data from MRI scans more efficiently and accurately, but they could also save billions in drug design, by enabling companies to quickly identify new compounds, and then simulate their effects without having to synthesise them. Furthermore, quantum computing could help scientists model complex interactions and processes in the body, enabling the discovery of new treatments for diseases such as Alzheimer\u2019s, or a quicker understanding of new diseases such as Covid-19. Artificial intelligence is already being used by companies such as DeepMind to gain insight into protein folding \u2013 a key facet of growth and disease \u2013 and quantum computers will accelerate this effort.<\/span><\/p>\n<p><span style=\"color: #000000;\">While most of these applications may have to wait for an error-corrected, fault-tolerant quantum computer with thousands or millions of qubits, simulating some natural problems that were previously impossible could, according to some in the field, be within our grasp within the next decade. The first attempts to build quantum computers will be noisy and error-prone, but that could actually make them well suited to simulating nature \u2013 molecules in the real world also exist in a world of noise and interference.<\/span><\/p>\n<\/div>\n<\/div>\n<div class=\"grid grid-margins grid-items-2 grid-layout--adrail narrow wide-adrail\" style=\"text-align: justify;\">\n<div class=\"grid--item body body__container article__body grid-layout__content\">\n<p><span style=\"color: #000000;\">Rather than trying to do an entire calculation using a quantum computer, variational quantum algorithms can use a limited number of qubits to make a best guess at the solution with the resources available, and then hand over the result to a classical computer which then decides whether to have another go. Splitting the quantum processing over smaller, independent steps means you can run calculations with fewer, noisier qubits than would otherwise be required.<\/span><\/p>\n<p><span style=\"color: #000000;\">In 2016, Zapata\u2019s Al\u00e1n Aspuru-Guzik collaborated with Google\u2019s research team in Santa Barbara to simulate dihydrogen again, but this time using the search giant\u2019s superconducting qubits, and an algorithm known as a \u2018variational quantum eigensolver\u2019.<\/span><\/p>\n<p><span style=\"color: #000000;\">Again, a quantum computer was able to predict the energy states and bond lengths of the molecule. The technique promises to be easier to scale up to more complex systems without requiring a huge increase in error-correction requirements.<\/span><\/p>\n<p><span style=\"color: #000000;\">\u201cWith this method of the variational quantum eigensolver, one of the things you can do is find the minimum energy of your problem,\u201d says IBM\u2019s Heike Riel. \u201cTypically you have an equation which describes your physical system, and one of the problems you have to solve is to find the minimum energy of this equation.\u201d This method requires far fewer qubits than a full simulation, and has a broad range of applications, from optimisation problems like the travelling salesman, through to chemical reactions where you need to find the ground state (the lowest possible energy level of a system), and ones where an excited state (any other energy level) is of interest \u2013 as is the case with photosynthesis and solar energy.<\/span><\/p>\n<p><span style=\"color: #000000;\">As the number of qubits in early quantum computers increases, their creators are opening up access via the cloud. IBM has its IBM Q network, for instance, while Microsoft has integrated quantum devices into its Azure cloud-computing platform. By combining these platforms with quantum-inspired optimisation algorithms and variable quantum algorithms, researchers could start to see some early benefits of quantum computing in the fields of chemistry and biology within the next few years. In time, Google\u2019s Sergio Boixo hopes that quantum computers will be able to tackle some of the existential crises facing our planet. \u201cClimate change is an energy problem \u2013 energy is a physical, chemical process,\u201d he says.<\/span><\/p>\n<p><span style=\"color: #000000;\">\u201cMaybe if we build the tools that allow the simulations to be done, we can construct a new industrial revolution that will hopefully be a more efficient use of energy.\u201d But eventually, the area where quantum computers might have the biggest impact is in quantum physics itself.<\/span><\/p>\n<p><span style=\"color: #000000;\">The Large Hadron Collider, the world\u2019s largest particle accelerator, collects about 300 gigabytes of data a second as it smashes protons together to try and unlock the fundamental secrets of the universe. To analyse it requires huge amounts of computing power \u2013 right now it\u2019s split across 170 data centres in 42 countries. Some scientists at CERN \u2013 the European Organisation for Nuclear Research \u2013 hope quantum computers could help speed up the analysis of data by enabling them to run more accurate simulations before conducting real- world tests. They\u2019re starting to develop algorithms and models that will help them harness the power of quantum computers when the devices get good enough to help.<\/span><\/p>\n<p><span style=\"color: #000000;\">\u201cThese are our first steps in quantum computing, but even if we are coming relatively late into the game, we are bringing unique expertise in many fields,\u201d Federico Carminati, a physicist at CERN, told WIRED in\u00a0<a style=\"color: #000000;\" href=\"https:\/\/www.wired.co.uk\/article\/quantum-computers-ibm-cern\">2019<\/a>. \u201cWe are experts in quantum mechanics, which is at the base of quantum computing.\u201d The Large Hadron Collider\u2019s landmark achievement so far is undoubtedly the 2012 discovery of the Higgs boson, an elementary particle whose existence helped confirm some long-held but evidence-light theories of quantum physics.<\/span><\/p>\n<\/div>\n<\/div>\n<div class=\"grid grid-margins grid-items-2 grid-layout--adrail narrow wide-adrail\">\n<div class=\"grid--item body body__container article__body grid-layout__content\">\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">In 2018, physicists from Caltech and the University of Southern California re-analysed the data which led to that discovery using a quantum computer, and managed to replicate the results. It wasn\u2019t quicker than a classical device, but it demonstrated that a quantum machine could be used for that type of problem. \u201cOne exciting possibility will be to perform very, very accurate simulations of quantum systems with a quantum computer \u2013 which in itself is a quantum system,\u201d said Carminati. \u201cOther groundbreaking opportunities will come from the blend of quantum computing and artificial intelligence to analyse big data \u2013 a very ambitious proposition at the moment, but central to our needs.\u201d<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">In\u00a0<em>Computing with Quantum Cats<\/em>, John Gribbin argues that this could be, if not the most important, then certainly the most profound application of quantum computers. \u201cIf we are ever to have a satisfactory \u201ctheory of everything\u201d incorporating both quantum theory and gravity,\u201d he writes, \u201cit is almost certain that it will only be found with the aid of quantum computers to simulate the behaviour of the universe.\u201d<\/span><\/p>\n<p>Fuente:<\/p>\n<p>Katwala, A. (2021b, junio 17). Quantum computers are already detangling nature\u2019s mysteries. Recuperado 21 de junio de 2021, de https:\/\/www.wired.co.uk\/article\/quantum-computing<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>THE LITHIUM-ION BATTERY\u00a0is the unsung hero of the modern world. Since it was first commercialised in the early 1990s, it has transformed the technology industry with its ability to store huge amounts of energy in a relatively small amount of space. Without lithium, there would be no iPhone or Tesla \u2013 and your laptop would [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":23241,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[366],"tags":[],"class_list":["post-23240","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computacion-cuantica"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Quantum computers are already detangling nature\u2019s mysteries - Observatorio Tecnol\u00f3gico de Hidalgo<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/otech.uaeh.edu.mx\/noti\/computacion-cuantica\/quantum-computers-are-already-detangling-natures-mysteries\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Quantum computers are already detangling nature\u2019s mysteries - Observatorio Tecnol\u00f3gico de Hidalgo\" \/>\n<meta property=\"og:description\" content=\"THE LITHIUM-ION BATTERY\u00a0is the unsung hero of the modern world. 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