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Why is Google working hard to create an enormously powerful quantum computer? A new structure in California was presented on the stage at Google I/O which will see the technology of the future evolve over the next 10 years. Alessio Pomaro Alessio Pomaro 14 Jul 2021 •3 min read Google AI Quantum - Google's new campus dedicated to Quantum AI Google AI Quantum - Google's new campus dedicated to Quantum AI Within a decade, Google aims to build a reliable quantum computer . This will accelerate solutions to some of the most pressing problems facing the world, such as sustainable energy and reducing emissions to feed the world's growing population, and unlock new scientific discoveries , such as more useful artificial intelligence . During Google I/O the new Quantum AI Campus in Santa Barbara, California was presented .
The facility includes the first quantum data center , quantum hardware India Mobile Number Data research labs , and areas where chips for quantum processors are built . Google started using machine learning 20 years ago (for spell checking in search) and led the deep learning revolution 10 years ago (promoting neural networks , the leading approach to AI today). These advances in artificial intelligence and other technologies have enabled many of the incredible applications we see today. Looking 10 years into the future, many of the biggest global challenges, from climate change to managing potential other pandemics , require a new kind of computing.
Google's new Quantum AI Campus in Santa Barbara, California Google's new Quantum AI Campus in Santa Barbara, California To build better batteries (to lighten the load on the power grid), or to create fertilizers to feed the world without creating 2% of global carbon emissions (as nitrogen fixation does today), or to create more effective drugs , we need to understand and design molecules better . This means accurately simulating nature, but this is not possible with classical computers. When you get to even modestly sized molecules, you quickly run out of computing resources . We need principles of quantum mechanics : the bonds and interactions between atoms behave in a probabilistic way, with richer dynamics that exhaust simple classical calculation logic.
The facility includes the first quantum data center , quantum hardware India Mobile Number Data research labs , and areas where chips for quantum processors are built . Google started using machine learning 20 years ago (for spell checking in search) and led the deep learning revolution 10 years ago (promoting neural networks , the leading approach to AI today). These advances in artificial intelligence and other technologies have enabled many of the incredible applications we see today. Looking 10 years into the future, many of the biggest global challenges, from climate change to managing potential other pandemics , require a new kind of computing.
Google's new Quantum AI Campus in Santa Barbara, California Google's new Quantum AI Campus in Santa Barbara, California To build better batteries (to lighten the load on the power grid), or to create fertilizers to feed the world without creating 2% of global carbon emissions (as nitrogen fixation does today), or to create more effective drugs , we need to understand and design molecules better . This means accurately simulating nature, but this is not possible with classical computers. When you get to even modestly sized molecules, you quickly run out of computing resources . We need principles of quantum mechanics : the bonds and interactions between atoms behave in a probabilistic way, with richer dynamics that exhaust simple classical calculation logic.