243 citations · 1.6k across the 79 of their papers we have counts for
79 papers
Disentangling QAOA: From Weakly Entangled Circuits to a Classical QUBO Solver
Boris I. Bantysh, Andrey Yu. Chernyavskiy, Denis A. Kulikov +2
The role of entanglement in quantum optimization remains actively debated. To address this question, we focus on the fixed-parameter expanding-depth regime of the quantum approxima…
On the local equivalence of trapped-ion two-qudit gates
Nikita V. Semenin, Pavel A. Kamenskikh, Ilia V. Zalivako +2
We derive a necessary condition of the local equivalence between two-qudit gates in terms of singular values of transformed gate matrices. This condition is valid for arbitrary qud…
Experimental characterization of the Toffoli gate via channel spectrum benchmarking
D. K. Korliakov, B. I. Bantysh, A. S. Borisenko +2
Channel spectrum benchmarking (CSB) provides a robust framework for characterizing quantum gate fidelities while remaining insensitive to state preparation and measurement (SPAM) e…
Applying Grover-mixer quantum alternating operator ansatz algorithm to higher-order unconstrained binary optimization problems
Evgeniy O. Kiktenko, Elizaveta V. Krendeleva, Aleksey K. Fedorov
The quantum approximate optimization algorithm (QAOA) is among the leading candidates for achieving quantum advantage on near-term processors. While typically implemented with a tr…
Qudit-native simulation of the Potts model
Maksim A. Gavreev, Evgeniy O. Kiktenko, Aleksey K. Fedorov +1
Simulating entangled, many-body quantum systems is notoriously hard, especially in the case of high-dimensional nature of physical underlying objects. In this work, we propose an a…
Further improvements to stabilizer simulation theory: classical rewriting of CSS-preserving stabilizer circuits, quadratic form expansions of stabilizer operations, and framed hidden variable models
Vsevolod I. Yashin, Vladimir V. Yatsulevich, Aleksey K. Fedorov +1
Simulation of stabilizer circuits is a well-studied problem in quantum information processing, with a number of highly optimized algorithms available. Yet, we argue that further im…