activity
20112026
most citedContinuous Wavelet Transform in Quantum Field Theory

29 citations · 89 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Quantum reservoir networks based on decoherence-free subspaces

V. V. Akshay, M. V. Altaisky, N. E. Kaputkina

We present numerical simulation of a six-qubit quantum reservoir network with an output implemented on a 5-dimensional decoherence-free subspace (DFS), working as a classifier betw…

hep-th2021★ 2 cited

Multiresolution quantum field theory in light-front coordinates

Mikhail Altaisky, Natalia Kaputkina, Robin Raj

We analyse the use of wavelet transform in quantum field theory models written in light-front coordinates. In a recent paper [W.N Polyzou, Phys. Rev. D 101(2020) 096004] W.N.Polyzo…

quant-ph2018★ 1 cited

Symmetry and decoherence-free subspaces in quantum neural networks

M. V. Altaisky, N. E. Kaputkina, V. A. Krylov

Evolution of quantum states of array of quantum dots is analyzed by means of numerical solution of the von Neumann equation. For two qubit system with dipole-dipole interaction and…

physics.flu-dyn2018★ 4 cited

Renormalization of viscosity in wavelet-based model of turbulence

M. V. Altaisky, M. Hnatich, N. E. Kaputkina

Statistical theory of turbulence in viscid incompressible fluid, described by the Navier-Stokes equation driven by random force, is reformulated in terms of scale-dependent fields…

quant-ph2015★ 15 cited

Entanglement in a quantum neural network based on quantum dots

Mikhail V. Altaisky, Nadezhda N. Zolnikova, Natalia E. Kaputkina +3

We studied the quantum correlations between the nodes in a quantum neural network built of an array of quantum dots with dipole-dipole interaction. By means of the quasiadiabatic p…

hep-th2015★ 10 cited

On quantization in light-cone variables compatible with wavelet transform

M. V. Altaisky, N. E. Kaputkina

Canonical quantization of quantum field theory models is inherently related to the Lorentz invariant partition of classical fields into the positive and the negative frequency part…

quant-ph2015★ 23 cited

Towards a feasible implementation of quantum neural networks using quantum dots

Mikhail V. Altaisky, Nadezhda N. Zolnikova, Natalia E. Kaputkina +3

We propose an implementation of quantum neural networks using an array of quantum dots with dipole-dipole interactions. We demonstrate that this implementation is both feasible and…

hep-th2013★ 29 cited

Continuous Wavelet Transform in Quantum Field Theory

Mikhail V. Altaisky, Natalia E. Kaputkina

We describe the application of the continuous wavelet transform to calculation of the Green functions in quantum field theory: scalar theory, quantum electrodynamics, quantum…

math-ph2012★ 4 cited

On quantization of nondispersive wave packets

M. V. Altaisky, N. E. Kaputkina

Canonical commutation relations for the Bateman-Hillion type nondispersive wave packets are constructed

quant-ph2011★ 1 cited

Quantum hierarchic models for information processing

Mikhail V. Altaisky, Natalia E. Kaputkina

Both classical and quantum computations operate with the registers of bits. At nanometer scale the quantum fluctuations at the position of a given bit, say, a quantum dot, not only…