Fully Scalable Randomized Benchmarking Without Motion Reversal
Year: 2024
Type: article
Abstract: We introduce , a protocol that streamlines traditional RB by using circuits consisting almost entirely of independent identically distributed (IID) layers of gates. BiRB reliably and efficiently extracts the average error rate of a Clifford gate set by sending tensor-product eigenstates of random Pauli operators through random circuits with IID layers. Unlike existing RB methods, BiRB does not use motion reversal circuits—i.e., circuits that implement the identity (or a Pauli) operator—which simplifies both the method and the theory proving its reliability. Furthermore, this simplicity enables scaling BiRB to many more qubits than the most widely used RB methods. Published by the American Physical Society 2024
Source: PRX Quantum
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,450
Funders: U.S. Department of Energy, Office of the Director of National Intelligence, Office of Science, National Nuclear Security Administration, Intelligence Advanced Research Projects Activity, Advanced Scientific Computing Research, Laboratory Directed Research and Development, Sandia National Laboratories
OpenAlex ID: W4401611924