Gil Kalai
Israeli mathematician working in combinatorics, convexity and the theory of quantum noise, at the Hebrew University of Jerusalem and Reichman University. Long argues that noise will prevent scalable quantum computers. Writes the Combinatorics and More blog.
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Their wordsThe increasing role of AI in mathematics is a major event in our lives, perhaps a crisis, perhaps an opportunity, and probably both.
↗Combinatorics and moregilkalai.wordpress.com 1st of 3 in this piece
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Their wordsThe potential for AI to harm the field is real, and I have no desire to downplay that danger.
↗Combinatorics and moregilkalai.wordpress.com 2nd of 3 in this piece
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Their wordsMy overall impression is that in the course of working, AI tools come up with interesting and useful problems and conjectures- and occasionally answer them effectively.
↗Combinatorics and moregilkalai.wordpress.com 3rd of 3 in this piece
- 6 months earlier
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Their wordssuch models can now be enhanced by the evolving capabilities of AI to accelerate research progress while offering developers a space to refine these tools through real-world academic interaction.
- 3 weeks earlier
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Their wordsAs a general rule, raw data for such experiments should be publicly available.
↗Combinatorics and moregilkalai.wordpress.com 1st of 2 in this piece
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Their wordsOur findings indicate that the experiment may indeed have been flawed.
↗Combinatorics and moregilkalai.wordpress.com 2nd of 2 in this piece
- 4 days earlier
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Their wordsMy conjecture asserts that nature does not permit such quadratic suppression. Even when entanglement is generated indirectly-through mediating qubits, measurement, feedforward, or clever circuit identities-the resulting Bell state on the two physical qubits still carries an intrinsic order- probability that both qubits are replaced by the maximally mixed state.
↗Combinatorics and moregilkalai.wordpress.com 1st of 2 in this piece
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Their wordsIf true, this would have severe consequences for quantum error correction: correlated depolarizing noise on pairs of qubits is far more damaging than the quasi-independent noise assumed in threshold theorems.
↗Combinatorics and moregilkalai.wordpress.com 2nd of 2 in this piece