An optimal separation of randomized and Quantum query complexity

Author:

Sherstov Alexander A.1ORCID,Storozhenko Andrey A.1,Wu Pei1

Affiliation:

1. University of California at Los Angeles, USA

Funder

National Science Foundation

Publisher

ACM

Reference27 articles.

1. Forrelation: A Problem That Optimally Separates Quantum from Classical Computing

2. Separations in query complexity using cheat sheets

3. Scott Aaronson Shalev Ben-David Robin Kothari and Avishay Tal. 2020. Quantum Implications of Huang's Sensitivity Theorem. Available at https://arxiv.org/abs/2004.13231. Scott Aaronson Shalev Ben-David Robin Kothari and Avishay Tal. 2020. Quantum Implications of Huang's Sensitivity Theorem. Available at https://arxiv.org/abs/2004.13231.

4. Nikhil Bansal and Makrand Sinha. 2020. $k$-Forrelation Optimally Separates Quantum and Classical Query Complexity. Available at https://arxiv.org/abs/2008.07003. Nikhil Bansal and Makrand Sinha. 2020. $k$-Forrelation Optimally Separates Quantum and Classical Query Complexity. Available at https://arxiv.org/abs/2008.07003.

5. Quantum lower bounds by polynomials

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