13 citations · 95 across the 25 of their papers we have counts for
26 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…
Evidence for effectively constant shot complexity in the quantum approximate optimization algorithm without per-instance optimization
Andrey Yu. Chernyavskiy, Denis A. Kulikov, Boris I. Bantysh +3
We study a modified fixed-point version of the Quantum Approximate Optimization Algorithm (fpQAOA), where parameters are trained classically on small instances and then transferred…
Progress in the development of quantum algorithms and software
Anastasiia S. Nikolaeva, Daria O. Konina, Anatolii V. Antipov +10
A quantum processor, like any computing device, requires the development of both hardware and the necessary set of software solutions, starting with quantum algorithms and ending w…
Fast reconstruction of programmable interferometers with intensity-only measurements
B. I. Bantysh, A. Yu. Chernyavskiy, S. A. Fldzhyan +1
Programmable linear optical interferometers are promising for classical and quantum applications. Their integrated design makes it possible to create more scalable and stable devic…
Entropic property of randomized QAOA circuits
A. Yu. Chernyavskiy, B. I. Bantysh, Yu. I. Bogdanov
Quantum approximate optimization algorithm (QAOA) aims to solve discrete optimization problems by sampling bitstrings using a parameterized quantum circuit. The circuit parameters…
Fast reconstruction of programmable integrated interferometers
B. I. Bantysh, K. G. Katamadze, A. Yu. Chernyavskiy +1
Programmable linear optical interferometers are important for classical and quantum information technologies, as well as for building hardware-accelerated artificial neural network…