45 citations · 189 across the 15 of their papers we have counts for
16 papers
Phase-sensitive cascade quantum amplifier with nearly noiseless operation
Ilari Lilja, Ekaterina Mukhanova, Michael Perelshtein +5
Phase-sensitive parametric devices enable quadrature-selective amplification with the potential for sub-quantum-limited noise performance. In this work, we investigate the operatio…
Comparison between Tensor Networks and Variational Quantum Classifier
Georgios Laskaris, Artem A. Melnikov, Michael R. Perelshtein +3
The primary objective of this paper is to conduct a comparative analysis between two Machine Learning approaches: Tensor Networks (TN) and Variational Quantum Classifiers (VQC). Wh…
Microwave photon detection at parametric criticality
Kirill Petrovnin, Jiaming Wang, Michael Perelshtein +2
The detection of microwave fields at single-photon power levels is a much sought-after technology, with practical applications in nanoelectronics and quantum information science. H…
Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method
Egor Kornev, Sergey Dolgov, Karan Pinto +3
The solution of computational fluid dynamics problems is one of the most computationally hard tasks, especially in the case of complex geometries and turbulent flow regimes. We pro…
Optimization of chemical mixers design via tensor trains and quantum computing
Nikita Belokonev, Artem Melnikov, Maninadh Podapaka +3
Chemical component design is a computationally challenging procedure that often entails iterative numerical modeling and authentic experimental testing. We demonstrate a novel opti…
Protein-protein docking using a tensor train black-box optimization method
Dmitry Morozov, Artem Melnikov, Vishal Shete +1
Black-box optimization methods play an important role in many fields of computational simulation. In particular, such methods are often used in the design and modelling of biologic…
Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis
Florian Neukart, Anders Indset, Markus Pflitsch +1
The question "What is real?" can be traced back to the shadows in Plato's cave. Two thousand years later, Rene Descartes lacked knowledge about arguing against an evil deceiver fee…
Practical application-specific advantage through hybrid quantum computing
Michael Perelshtein, Asel Sagingalieva, Karan Pinto +7
Quantum computing promises to tackle technological and industrial problems insurmountable for classical computers. However, today's quantum computers still have limited demonstrabl…
Solving workflow scheduling problems with QUBO modeling
A. I. Pakhomchik, S. Yudin, M. R. Perelshtein +2
In this paper we investigate the workflow scheduling problem, a known NP-hard class of scheduling problems. We derive problem instances from an industrial use case and compare agai…
Hybrid quantum ResNet for car classification and its hyperparameter optimization
Asel Sagingalieva, Mo Kordzanganeh, Andrii Kurkin +6
Image recognition is one of the primary applications of machine learning algorithms. Nevertheless, machine learning models used in modern image recognition systems consist of milli…
Generation and structuring of multipartite entanglement in Josephson parametric system
K. V. Petrovnin, M. R. Perelshtein, T. Korkalainen +4
Quantum correlations are a vital resource in advanced information processing based on quantum phenomena. Remarkably, the vacuum state of a quantum field may act as a key element fo…
Broadband continuous variable entanglement generation using Kerr-free Josephson metamaterial
Michael Perelshtein, Kirill Petrovnin, Visa Vesterinen +13
Entangled microwave photons form a fundamental resource for quantum information processing and sensing with continuous variables. We use a low-loss Josephson metamaterial comprisin…
Linear Ascending Metrological Algorithm
M. R. Perelshtein, N. S. Kirsanov, V. V. Zemlyanov +4
The ubiquitous presence of shot noise sets a fundamental limit to the measurement precision in classical metrology. Recent advances in quantum devices and novel quantum algorithms…
Large-scale quantum hybrid solution for linear systems of equations
M. R. Perelshtein, A. I. Pakhomchik, A. A. Melnikov +5
State-of-the-art noisy intermediate-scale quantum devices (NISQ), although imperfect, enable computational tasks that are manifestly beyond the capabilities of modern classical sup…
Broadband lumped-element Josephson parametric amplifier with single-step lithography
T. Elo, T. S. Abhilash, M. R. Perelshtein +3
We present a lumped-element Josephson parametric amplifier (JPA) utilizing a straightforward fabrication process involving a single electron beam lithography step followed by doubl…
Phase estimation algorithm for the multibeam optical metrology
V. V. Zemlyanov, N. S. Kirsanov, M. R. Perelshtein +5
Unitary Fourier transform lies at the core of the multitudinous computational and metrological algorithms. Here we show experimentally how the unitary Fourier transform-based phase…