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IBM Will Deliver a 1000 Qubit Quantum Computer by 2023
This should get us to a new paradigm that will literally change the world!! When it gets to a million qubits we will be fully engaged in a world thought impossible.
serf
The plan includes building intermediate-size machines of 127 and 433
qubits in 2021 and 2022, respectively, and envisions following up with a
million-qubit machine at some unspecified date. Dario Gil, IBM’s
director of research, says he is confident his team can keep to the
schedule. “A road map is more than a plan and a PowerPoint
presentation,” he says. “It’s execution.”
Comments
So in other words you’re saying it could tell us the definitive answer to the 9mm vs. the 45 debate and let us know if remote girl has an older, available sister?
Russian President Vladimir Putin says that whoever reaches a breakthrough in developing artificial intelligence will come to dominate the world.
Putin, speaking Friday at a meeting with students, said the development of AI raises “colossal opportunities and threats that are difficult to predict now.”
He warned that “the one who becomes the leader in this sphere will be the ruler of the world.”
Several countries are in this race. President Donald Trump signed a bill in 2018 that officially earmarked $1.2 billion for quantum information development in the next decade. Last year, Google claimed it overtook Chinese efforts and developed a machine that can solve a problem in just 200 seconds, which would take a supercomputer today about 10,000 years.
Canada, Germany, the United Kingdom, France, Russia, Japan and South Korea are also looking into the supercomputers of tomorrow and pouring large sums of money into research and development.
Odds are it will not be a super-duper computer that does it.
Brad Steele
I do believe deep learning is going to be able to do everything, but I do think there’s going to have to be quite a few conceptual breakthroughs. For example, in 2017 Ashish Vaswani et al. introduced transformers, which derive really good vectors representing word meanings. It was a conceptual breakthrough. It’s now used in almost all the very best natural-language processing. We’re going to need a bunch more breakthroughs like that.
And if we have those breakthroughs, will we be able to approximate all human intelligence through deep learning?
Yes. Particularly breakthroughs to do with how you get big vectors of neural activity to implement things like reason. But we also need a massive increase in scale. The human brain has about 100 trillion parameters, or synapses. What we now call a really big model, like GPT-3, has 175 billion. It’s a thousand times smaller than the brain. GPT-3 can now generate pretty plausible-looking text, and it’s still tiny compared to the brain.
The future is owned by people who can code on bare metal. Everything else is in the layers. Luckily there are background checks and continuous security audits of the people who keep the important systems working. Luckily most of us are patriots. Luckily most of us agree with "first do no harm". Luckily there are enough old silverbacks still around to convey to the next class of snot-nosed punks that they don't know dick. Of that class we might retain 0.5% that are up to the job. We start their training and on it goes.