▲ | randysalami 3 months ago | |||||||
“Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy” (Richard Feynman). Quantum systems are physical systems, classical systems due to their very nature only can emulate it. When it comes to agents like we were discussing before, a classical agent will always be limited by the abstractions needed to get it to understand the real world. A quantum agent would actually “get” the world. The difference is fidelity and classic systems will only ever be an approximation. | ||||||||
▲ | daxfohl 3 months ago | parent [-] | |||||||
This is irrelevant. First, quantum programs don't "get" anything just by virtue of being quantum code, any more than classical computers "get" the foundations of electricity and magnetism because they use electrons. Second, classical computers absolutely can simulate quantum systems. They're inefficient, but they can do it. Third, determining whether an agent is stuck in an infinite loop has nothing to do with the physical world. They're just binary code running on a Turing machine. Fourth, the halting problem is provably unsolvable in both classical and quantum systems, so there's not even a relationship here. Fifth, what do you mean by quantum systems are physical? Does this mean classical systems aren't? Are physical systems only those that use every aspect of physics? Then quantum systems aren't physical either because they can't account for gravity. So do we need quantum gravitational computers? Sixth, what does "getting" quantum mechanics that have to do with AI agents? Do I need to understand quantum physics before I can have a conversation with someone? Can I not read an email without an appeal to hilbert space? Just, none of this is related to quantum computing. It's like having a bug in a deployment and saying string theory would've prevented that. | ||||||||
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