My question is more about what the capabilities of a superintelligence would be once equipped with a quantum computer, not whether quantum computing will play into the development of AGI. This question is important for AI safety concerns, and few people are talking about it / qualified to tackle it.
Quantum algorithms seem highly relevant to this question. At the risk of revealing my total lack of expertise in quantum computing, one might even wonder what learnable quantum circuits / neural networks would entail. Idk. It just seems wide open.
Some questions:
Forecasting is highly information limited. A superintelligence that can’t see half the chessboard can still lose. Does quantum computing provide a differential advancement here?
Does alphafold et al render the quantum computing hopes to supercharge simulation of chemical/physical systems irrelevant? Or would a ‘quantum version of alphafold’ trounce the original? (again, I am no expert here)
Where will exponential speedups play a role in practical problems? Simulation? Of just quantum systems, or does it help with simulating complex systems more generally? Any case where the answer is “yes” is worth thinking about the implications of wrt AI safety.
My question is more about what the capabilities of a superintelligence would be once equipped with a quantum computer
I think it would be an AGI very capable of chemistry :-)
one might even wonder what learnable quantum circuits / neural networks would entail.
Right now they just mean lots of problems :P More concretely, there are some results that indicate that quantum NN (or variational circuits, as they call them) are not likely to be more efficient for learning classical data than classical NN are. Although I agree this is a bit too much in the air yet.
Does alphafold et al render the quantum computing hopes to supercharge simulation of chemical/physical systems irrelevant?
By chemistry I mean electronic simulation. Other than that, proteins are quite classical, and that’s why alphafold works well, and why it is highly unlikely that neurons would have any quantum effects involved in their functioning.
Or would a ‘quantum version of alphafold’ trounce the original?
Where will exponential speedups play a role in practical problems? Simulation? Of just quantum systems, or does it help with simulating complex systems more generally? Any case where the answer is “yes” is worth thinking about the implications of wrt AI safety.
My question is more about what the capabilities of a superintelligence would be once equipped with a quantum computer, not whether quantum computing will play into the development of AGI. This question is important for AI safety concerns, and few people are talking about it / qualified to tackle it.
Quantum algorithms seem highly relevant to this question. At the risk of revealing my total lack of expertise in quantum computing, one might even wonder what learnable quantum circuits / neural networks would entail. Idk. It just seems wide open.
Some questions:
Forecasting is highly information limited. A superintelligence that can’t see half the chessboard can still lose. Does quantum computing provide a differential advancement here?
Does alphafold et al render the quantum computing hopes to supercharge simulation of chemical/physical systems irrelevant? Or would a ‘quantum version of alphafold’ trounce the original? (again, I am no expert here)
Where will exponential speedups play a role in practical problems? Simulation? Of just quantum systems, or does it help with simulating complex systems more generally? Any case where the answer is “yes” is worth thinking about the implications of wrt AI safety.
I think it would be an AGI very capable of chemistry :-)
Right now they just mean lots of problems :P More concretely, there are some results that indicate that quantum NN (or variational circuits, as they call them) are not likely to be more efficient for learning classical data than classical NN are. Although I agree this is a bit too much in the air yet.
By chemistry I mean electronic simulation. Other than that, proteins are quite classical, and that’s why alphafold works well, and why it is highly unlikely that neurons would have any quantum effects involved in their functioning.
For this I even have a published article showing that (probably) no: https://arxiv.org/pdf/2101.10279.pdf (published in https://iopscience.iop.org/article/10.1088/2058-9565/ac4f2f/meta)
My intuition is that no, but if that were to be the case, then it is unlikely to be an issue for AI Safety: https://www.alignmentforum.org/posts/ZkgqsyWgyDx4ZssqJ/implications-of-quantum-computing-for-artificial
Thanks in any case, Mantas :)