◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

D. Grigoriev

7 papers hereh-index 7205 citations36 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author3

Across the 5 of 7 papers where every author was matched, so the position is known.

fields
  • quant-ph6
  • physics.optics1
same name
  • D. Grigoriev — 32 papers, h 33
  • D. Grigoriev — 22 papers, h 36
  • D. Grigoriev — 8 papers, h 10
  • D. Grigoriev — 2 papers, h 11
  • D. Grigoriev — 2 papers, h 2
  • D. Grigoriev — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedLorentz-invariant mass and entanglement of biphoton states

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

quant-ph2019★ 5 cited

Lorentz-invariant mass and entanglement of biphoton states

S. V. Vintskevich, D. A. Grigoriev, M. V. Fedorov

The concept of the Lorentz-invariant mass of a group of particles is shown to be applicable to biphoton states formed in the process of spontaneous parametric down conversion. The…

quant-ph2019

Effect of incoherent pump on two-mode entanglement in optical parametric generation

S. V. Vintskevich, D. A. Grigoriev, S. N. Filippov

Pumping a nonlinear crystal by an intense radiation results in the optical parametric generation of photons in two modes (the signal and the idler). The quantized electromagnetic f…

physics.optics2019

Structured light pulses and their Lorentz-invariant mass

Stephen V. Vintskevich, Dmitry A. Grigoriev

Lorentz-invariant mass and mean propagation velocity have been found for structured light pulses in vacuum considered as relativistic objects. We solved the boundary problem for su…

quant-ph2019

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.