13 papers
Thermodynamic coprocessor for linear operations with input-size-independent calculation time based on open quantum system
I. V. Vovchenko, A. A. Zyablovsky, A. A. Pukhov +1
Linear operations, e.g., vector-matrix and vector-vector multiplications, are core operations of modern neural networks. To diminish computational time, these operations are implem…
Cascade Brilloiun scattering on short-lived phonons for frequency comb generation
Egor R. Verevkin, Ilya V. Doronin, Alexander A. Zyablovsky +1
We consider Brillouin scattering on short-lived phonon modes, such that the relative Brillouin shift between propagating and scattered waves is smaller than the relative width of p…
All-Optical Brillouin Random number Generator
A. R. Mukhamedyanov, E. S. Andrianov, A. A. Zyablovsky
We propose a model of binary random number generator (RNG) based on a Brillouin optomechanical system. The device uses a hard excitation mode in a Brillouin optomechanical system,…
Measurement-based acceleration of optical computations
I. V. Vovchenko, A. A. Zyablovsky, A. A. Pukhov +1
Analog coprocessors are intensively developing nowadays with the aim to optimize energy computations of neural networks. In this work we focus on the possibility of using detection…
Optical coprocessor based on spontaneous Brillouin scattering
I. V. Vovchenko, A. A. Zyablovsky, A. A. Pukhov +1
Analog coprocessors for neural networks are an intensively developing field. They provide approximate results of computations for relatively low energy cost and at high speed. We s…
Exceptional points of arbitrary high orders induced by non-Markovian dynamics
Timofey T. Sergeev, Evgeny S. Andrianov, Alexander A. Zyablovsky
Exceptional points are singularities in the spectrum of non-Hermitian systems in which several eigenvectors are linearly dependent and their eigenvalues are equal to each other. Us…