Ctrl+K
- claim-1-a-gradient-testing-algorithm-determines-whether-the-normalized-gradient-of-a-smooth-function-is-close-or-2-far-f
- claim-2-a-gradient-estimation-algorithm-produces-an-accurate-estimate-of-the-normalized-gradient-using-o-n-log-1-compari
- claim-3-a-quantum-variant-using-a-quantum-comparison-oracle-with-superposition-achieves-gradient-estimation-in-o-log-n-q
- claim-4-the-comparison-oracle-model-is-used-to-characterize-gradient-properties-of-smooth-functions-without-direct-acces
- conclusion
- executive-summary
- 1.51 kB