101 citations · 303 across the 14 of their papers we have counts for
14 papers
Large-scale quantum annealing simulation with tensor networks and belief propagation
Ilia A. Luchnikov, Egor S. Tiunov, Tobias Haug +1
Quantum annealing and quantum approximate optimization algorithms hold a great potential to speed-up optimization problems. This could be game-changing for a plethora of applicatio…
Scalable tomography of many-body quantum environments with low temporal entanglement
Ilia A. Luchnikov, Michael Sonner, Dmitry A. Abanin
Describing dynamics of a quantum system coupled to a complex many-body environment is a ubiquitous problem in quantum science. General non-Markovian environments are characterized…
Controlling quantum many-body systems using reduced-order modelling
I. A. Luchnikov, M. A. Gavreev, A. K. Fedorov
Quantum many-body control is among most challenging problems in quantum science, due to computational complexity of related underlying problems. We propose an efficient approach fo…
Continuous monitoring for noisy intermediate-scale quantum processors
Y. F. Zolotarev, I. A. Luchnikov, J. A. López-Saldívar +2
We present a continuous monitoring system for intermediate-scale quantum processors that allows extracting estimates of noisy native gate and read-out measurements based on the set…
Efficient variational synthesis of quantum circuits with coherent multi-start optimization
Nikita A. Nemkov, Evgeniy O. Kiktenko, Ilia A. Luchnikov +1
We consider the problem of the variational quantum circuit synthesis into a gate set consisting of the CNOT gate and arbitrary single-qubit (1q) gates with the primary target being…
Collisional open quantum dynamics with a generally correlated environment: Exact solvability in tensor networks
Sergey N. Filippov, Ilia A. Luchnikov
Quantum collision models are receiving increasing attention as they describe many nontrivial phenomena in dynamics of open quantum systems. In a general scenario of both fundamenta…
Simulating quantum circuits using the multi-scale entanglement renormalization ansatz
I. A. Luchnikov, A. V. Berezutskii, A. K. Fedorov
Understanding the limiting capabilities of classical methods in simulating complex quantum systems is of paramount importance for quantum technologies. Although many advanced appro…
Probing non-Markovian quantum dynamics with data-driven analysis: Beyond "black-box" machine learning models
I. A. Luchnikov, E. O. Kiktenko, M. A. Gavreev +3
A precise understanding of the influence of a quantum system's environment on its dynamics, which is at the heart of the theory of open quantum systems, is crucial for further prog…
QGOpt: Riemannian optimization for quantum technologies
I. A. Luchnikov, A. Ryzhov, S. N. Filippov +1
Many theoretical problems in quantum technology can be formulated and addressed as constrained optimization problems. The most common quantum mechanical constraints such as, e.g.,…
Riemannian geometry and automatic differentiation for optimization problems of quantum physics and quantum technologies
Ilia A. Luchnikov, Mikhail E. Krechetov, Sergey N. Filippov
Optimization with constraints is a typical problem in quantum physics and quantum information science that becomes especially challenging for high-dimensional systems and complex a…
Variational autoencoder reconstruction of complex many-body physics
I. Luchnikov, A. Ryzhov, P. -J. C. Stas +2
Given the notably increasing complexity of mathematical models to study realistic systems and their coupling to their environment that constrains their dynamics, both analytical ap…
Machine learning non-Markovian quantum dynamics
I. A. Luchnikov, S. V. Vintskevich, D. A. Grigoriev +1
Machine learning methods have proved to be useful for the recognition of patterns in statistical data. The measurement outcomes are intrinsically random in quantum physics, however…
Dimension truncation for open quantum systems in terms of tensor networks
I. A. Luchnikov, S. V. Vintskevich, S. N. Filippov
We present novel and simple estimation of a minimal dimension required for an effective reservoir in open quantum systems. Using a tensor network formalism we introduce a new objec…
Quantum evolution in the stroboscopic limit of repeated measurements
I. A. Luchnikov, S. N. Filippov
We consider a quantum system dynamics caused by successive selective and non-selective measurements of the probe coupled to the system. For the finite measurement rate and…