collaborators

17 papers

quant-ph2026

Quantum optical reset with classical memory

Evgeniy O. Kiktenko, Oleg M. Sotnikov, Ilia A. Iakovlev +5

Dynamic quantum circuits generate states that depend on the measurement results obtained during circuit execution. To date such a quantum computing model has mainly been implemente…

quant-ph2026

Transition-aware decomposition of single-qudit gates

Denis A. Drozhzhin, Evgeniy O. Kiktenko, Aleksey K. Fedorov +1

Quantum computation with -level quantum systems, also known as qudits, benefits from the possibility to use a richer computational space compared to qubits. However, for an arbi…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

Scalable platform for qudit-based quantum computing using polar molecules

Soleh Kh. Muminov, Evgeniy O. Kiktenko, Anastasiia S. Nikolaeva +4

We propose a scalable qudit-based quantum processor using rotational states of polar molecules. Previously, molecular internal states were used to enlarge Hilbert space, whereas ou…

quant-ph2026

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…