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M. Fujita

4 papers hereh-index 336.6k citations495 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR1
  • cs.LG1
  • physics.app-ph1
  • quant-ph1
same name
  • M. Fujita — 58 papers, h 25
  • M. Fujita — 22 papers, h 7
  • M. Fujita — 13 papers, h 9
  • M. Fujita — 9 papers, h 15
  • M. Fujita — 8 papers, h 27
  • M. Fujita — 5 papers, h 39

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
20202023
most citedNon-volatile hybrid optical phase shifter driven by a ferroelectric transistor

6 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2023★ 5 cited

Parallelizing quantum simulation with decision diagrams

Shaowen Li, Yusuke Kimura, Hiroyuki Sato +2

Recent technological advancements show promise in leveraging quantum mechanical phenomena for computation. This brings substantial speed-ups to problems that are once considered to…

physics.app-ph2022★ 6 cited

Non-volatile hybrid optical phase shifter driven by a ferroelectric transistor

Rui Tang, Kouhei Watanabe, Masahiro Fujita +5

Optical phase shifters are essential elements in photonic integrated circuits (PICs) and function as a direct interface to program the PIC. Non-volatile phase shifters, which can r…

cs.AR2021★ 2 cited

FPGA Based Accelerator for Neural Networks Computation with Flexible Pipelining

Qingyang Yi, Heming Sun, Masahiro Fujita

FPGA is appropriate for fix-point neural networks computing due to high power efficiency and configurability. However, its design must be intensively refined to achieve high perfor…

cs.LG2020

Parallel Scheduling Self-attention Mechanism: Generalization and Optimization

Mingfei Yu, Masahiro Fujita

Over the past few years, self-attention is shining in the field of deep learning, especially in the domain of natural language processing(NLP). Its impressive effectiveness, along…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.