Ten year $1.275 billion US National Quantum Initiative proposed to get more quantum engineers

There is a proposed $1.275 billion National Quantum Initiative to accelerating research and training in quantum computing. The funding would be provided over ten years. Several centers of excellence for quantum computing would help train many quantum engineers.

Chris Monroe, cofounder of IonQ, was one of the authors. IonQ is developing a general-purpose trapped ion quantum computer and software to generate, optimize, and execute quantum circuits. They have $20 million in funding.

China has its own quantum plan. They are funding a $10 billion National Laboratory for Quantum Information Sciences.

PNAS – Experimental comparison of two quantum computing architectures

15 thoughts on “Ten year $1.275 billion US National Quantum Initiative proposed to get more quantum engineers”

  1. If the AI expertise crunch is bad, wait to see the one coming from the lack of experts on computers that are mostly in labs, with a small priesthood of experts caring for them and knowing the arcane methods for feeding them data! Aspiring researchers and forward looking job seekers, take note.

  2. If the AI expertise crunch is bad wait to see the one coming from the lack of experts on computers that are mostly in labs with a small priesthood of experts caring for them and knowing the arcane methods for feeding them data!Aspiring researchers and forward looking job seekers take note.

  3. If the AI expertise crunch is bad, wait to see the one coming from the lack of experts on computers that are mostly in labs, with a small priesthood of experts caring for them and knowing the arcane methods for feeding them data! Aspiring researchers and forward looking job seekers, take note.

  4. If the AI expertise crunch is bad wait to see the one coming from the lack of experts on computers that are mostly in labs with a small priesthood of experts caring for them and knowing the arcane methods for feeding them data!Aspiring researchers and forward looking job seekers take note.

  5. If the AI expertise crunch is bad, wait to see the one coming from the lack of experts on computers that are mostly in labs, with a small priesthood of experts caring for them and knowing the arcane methods for feeding them data!

    Aspiring researchers and forward looking job seekers, take note.

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