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Quantum Computing, Not Ai, Will Define Our Future

Chirag Dekate, vice president of technology research firm Gartner, believes that public cloud providers such as Amazon, Microsoft, and Google actively invest in next-generation quantum computing. They find it increasingly challenging to achieve performance gains with traditional chips. Gartner estimates that by 2025, nearly 40 percent of large companies are expected to be ready to embrace quantum computing actively. According to Research and Markets, another research firm, the global quantum computing hardware market will surpass $7.1 billion by 2026.

The company recently opened an expanded California-based campus, focusing on these efforts. For real industrial applications of quantum processors, Google said, a 1-million-qubit machine would need to be built to perform reliable, error-free computations. If we follow Moore’s law which states that the processing power of computers will double every two years, computers could reach speeds up to nearly 5.5 petahertz by 2050. In such a world, your digital life and your real life could overlap seamlessly.

One of the things is we gave access to both a simulator and the actual hardware and now it has crossed over right now what people really want access to the real hardware to be able to solve these problems. The 6% of Americans who have already been impacted by automation in their own careers respond to this concept in ways that are notably different from the rest of the population. Compared with other Americans, this group is around twice as likely to have heard a lot about this concept and is also more likely to find it extremely realistic that machines might one day perform many human jobs. They see greater automation risk to jobs that other Americans consider to be relatively safe and express greater support for a universal basic income in the event of widespread automation of jobs. Regardless of whether major or minor impacts are expected on human employment as a whole, most studies of workforce automation anticipate that certain types or categories of jobs will be more vulnerable to this trend than others. These jobs include a mixture of physical and mental or cognitive work, as well as a mixture of routine and non-routine tasks.

This would be the year of convergence between humans and machines, a concept he called “uniqueness”. As they mature, quantum computers running sophisticated machine learning algorithms will be capable of managing gargantuan tasks. When asked whether the government or individuals themselves are most responsible for taking care of people whose jobs are displaced by robots or computers, the public is evenly split. Exactly half feel that the government would have an obligation to care for those displaced workers, even if that required raising taxes substantially. Meanwhile, a nearly identical share (49%) feels that individuals would have an obligation to care for their own financial well-beings, even if machines had already taken many of the jobs they might otherwise be qualified for.

Santiago Ramon Cajal, at the turn of 1900s, was among the first to understand that we have these structures in our brain called neurons and the linkage between these neural structures and memory and learning. It wasn’t with a whole lot more than this biological inspiration that starting in the 1940s and 50s and of course to today we saw the emergence of an artificial neural network that took loose inspiration from the brain. What has happened over the last six years, in terms of this intersection between the bit revolution and the consequence of digitizing the world and the associated computing revolution we have now big enough computers to train some of these deep neural networks at scale. In the predictions of visionaries like entrepreneur and futurist Raymond Kurzweil, the turn of the artificial intelligence on the human brain has until date to occur. Involved in several innovations during his career, such as the recognition of human speech by machines, Kurzweil, the engineering director of Google, believes that machines can gain “consciousness” in 2029.

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