The Power of Adaptivity in Quantum Query Algorithms
Author:
Affiliation:
1. Princeton University, Princeton, USA
2. University of Illinois at Urbana-Champaign, Champaign, USA
3. University of California at Berkeley, Berkeley, USA
Funder
Simons Institute for the Theory of Computing, University of California Berkeley
IBM
NSF (National Science Foundation)
Alfred P. Sloan Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3618260.3649621
Reference47 articles.
1. Forrelation
2. Rohit Agrawal. 2020. Coin Theorems and the Fourier Expansion. Chic. J. Theor. Comput. Sci., 2020 (2020), http://cjtcs.cs.uchicago.edu/articles/2020/4/contents.html
3. How Low can Approximate Degree and Quantum Query Complexity be for Total Boolean Functions?
4. Quantum Depth in the Random Oracle Model
5. k-forrelation optimally separates Quantum and classical query complexity
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