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From the 1 of 7 linked papers with an AI index.

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7 papers

quant-ph2026

Resource-efficient linear-optical generation of GHZ-like states

Suren A. Fldzhyan, Stanislav S. Straupe, Mikhail Yu. Saygin

The paper presents a linear‑optical scheme for generating GHZ‑like multi‑photon entangled states that uses tunable, non‑maximally entangled intermediate states to reduce the photon…

physics.optics2026

Perturbative photonic matrix-vector multiplication with reduced phase-shift range

S. A. Fldzhyan, S. S. Straupe, M. Yu. Saygin

Programmable photonic meshes provide a promising platform for analog matrix-vector multiplication, but their scalability is often limited by the large phase-shift ranges required i…

cs.LG2026

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers

Andrei Chertkov, Artem Basharin, Mikhail Saygin +3

The growing demand for energy-efficient, high-performance AI systems has led to increased attention on alternative computing platforms (e.g., photonic, neuromorphic) due to their p…

quant-ph2026

Single-photon-boosted type-I fusion gates

A. A. Melkozerov, S. S. Straupe, M. Yu. Saygin

Fusion measurements are a key primitive for linear-optical quantum computing and quantum networks. Type-I and type-II fusion gates are widely used to combine small entangled resour…

quant-ph2026

Explicit Quantum Search Algorithm for the Densest k-Subgraph Problem

Yu. A. Biriukov, R. D. Morozov, I. V. Dyakonov +1

This paper addresses the problem of finding the densest -vertex subgraph in an arbitrary graph. This problem is NP-hard and has important applications in social network analysis…

physics.optics2026

Native QR Factorization on Programmable Photonic Meshes

S. A. Fldzhyan, S. S. Straupe, M. Yu. Saygin

We propose a photonic native procedure for computing the QR factorization of a matrix using a programmable unitary interferometer mesh. The method configures the mesh through a seq…