Work

Efficient Approximate Unitary Designs from Random Pauli Rotations

Year: 2024

Type: conference-paper

Source: Annual Symposium on Foundations of Computer Science

DOI: 10.1109/focs61266.2024.00036

Authors: Jeongwan Haah, Yunchao Liu, Xinyu Tan

Institutions: Microsoft (United States), University of California, Berkeley, Massachusetts Institute of Technology

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Energy

Awards: G7456145480, FET: Medium: Quantum Algorithms, Complexity, Testing and Benchmarking

OpenAlex ID: W4404848288

FWCI: 4.122

Cites: 17

Cited by: 14

Related to: 10