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In the early days of AI, we had pure mathematical theorems like the one by Minsky and Papert that a single-layer perceptron cannot compute XOR. But it seems like in the last decade, a lot of AI progress has come from the empirical rather than theoretical realm (scaling laws etc.) In QC too, there are pure math theorems like the Gottesman-Knill theorem which says that quantum advantage stems from non-Clifford gates. Do you think empirical results in QC will outweigh theoretical results in the fut
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Theoretical v/s empirical breakthroughs
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In the early days of AI, we had pure mathematical theorems like the one by Minsky and Papert that a single-layer perceptron cannot compute XOR. But it seems like in the last decade, a lot of AI progress has come from the empirical rather than theoretical realm (scaling laws etc.) In QC too, there are pure math theorems like the Gottesman-Knill theorem which says that quantum advantage stems from non-Clifford gates. Do you think empirical results in QC will outweigh theoretical results in the future, and is there a deeper reason behind why (if at all) breakthroughs tend to be empirical rather than theoretical?
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asked 1 hour ago
Malhar Manek
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The gap between theoretical quantum algorithms and empirical results usually comes down to hardware noise and qubit connectivity. Theory assumes ideal conditions; empirical data includes decoherence, gate errors, and readout infidelity. If you want a resource that breaks down how to align the two, email me at choryevans@gmail.com.
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answered 6 mins ago
Carter Bro
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