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Roshawn Terrell is a machine learning and AI researcher for Ethicsnet.com. He studies neuroscience, cognitive science, and artificial intelligence. He is a guest-lecturer at Oxford, where he will be leading a research team to look into applying his and colleague's findings to building more sophisticated artificial intelligence.
Computer scientists Ran Raz and Avishay Tal prove that quantum computers possess a capacity far beyond the level any classical computer could ever hope to achieve. Normally the main benefit of quantum computers is simply their immense raw computational power. Bits in classical computers can only exist in two possible states, commonly referred to as 1 or 0. But because bits in quantum computers, known as 'qubits', can exist in more than one state at a time, they are capable of processing information far more efficiently than classical computers. But it has been thought that other than their increased processing speed, there's nothing else really special about them. Well, it turns out that quantum computers are not just faster, but would actually be able to solve problems that are impossible for classical computers to solve. This isn't because classical computers are just too slow, or because they don't have enough computing power. It doesn't matter how fast and powerful we make them, it turns out they're simply exists problems outside their capability to compute. This would mean that quantum computers have the power to deal with problems that we can't comprehend, or even begin to touch with our current level of technology. It's as if quantum computers have access to a world that we have never known. This also might explain the seemingly immense power of the brain, as there is growing evidence that the brain may be at least on some level a quantum computer as well.
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