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Physics of Intelligence Research

Physics of Intelligence Research

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Physics of Intelligence Research

My name is Tran Quoc Hoan. I am working as a Researcher in Quantum Computing at Fujitsu Research. I was…

Quantum–Classical Hybrid Information Processing via a Single Quantum System

Current technologies in quantum-based communications bring a new integration of quantum data with classical data for hybrid processing. However, the…

Quantum Machine Learning, Reservoir Computing

Quantum Noise-Induced Reservoir Computing

Quantum computing has been moving from a theoretical phase to practical one, presenting daunting challenges in implementing physical qubits, which…

IBM processors, Quantum Machine Learning, Reservoir Computing

Temporal Quantum Tomography

The impressive progress in realizing quantum-enhanced technologies places a demand on the characterization and validation of quantum hardware. One of…

PRL, Quantum Machine Learning, Reservoir Computing, Temporal quantum data

Universal Approximation Property of Quantum Feature Maps

Encoding classical inputs into quantum states is considered a quantum feature map to map classical data into a quantum Hilbert…

PRL, Quantum Machine Learning, UAP

Higher-order Quantum Reservoir Computing

Quantum reservoir computing (QRC) is an emerging paradigm for harnessing the natural dynamics of quantum systems as computational resources that…

Chaos, FORCE Learning, Innate training, Quantum Machine Learning, Reservoir Computing

Topological Data Analysis and Coupled Oscillators

The characterization of phase dynamics in coupled oscillators offers insights into fundamental phenomena in complex systems. To describe the collective…

Kuramoto, Machine Learning, oscillators, PRE, TDA

Topological Data Analysis and Phase Transition

The study of phase transitions using is challenging, especially when little prior knowledge of the system is available. Topological data…

Machine Learning, Phase transition, PRE, TDA, Topology

Topology Data Analysis and Complex Networks

Empirical studies have recently shed light on the characteristics of complex networks that are relevant to the dynamics of complex…

complex networks, multiscale, PRE, TDA, Topology

Topology and time-series analysis

Identifying the qualitative changes in time-series data provides insights into the dynamics associated with such data. Such qualitative changes can…

PRE, TDA, time series, Topology

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Recent Posts

  • Quantum–Classical Hybrid Information Processing via a Single Quantum System
  • Quantum Noise-Induced Reservoir Computing
  • Temporal Quantum Tomography
  • Universal Approximation Property of Quantum Feature Maps
  • Higher-order Quantum Reservoir Computing

Archives

  • September 2022 (1)
  • July 2022 (1)
  • March 2021 (1)
  • October 2020 (7)

Tags

Chaos complex networks FORCE Learning IBM processors Innate training Kuramoto Machine Learning multiscale oscillators Phase transition PRE PRL Quantum Machine Learning Reservoir Computing TDA Temporal quantum data time series Topology UAP

Blogs I Follow

  • Jeff Gore's Blog
  • Viết những câu chuyện nhỏ
  • Hiệu Minh Blog
  • AnalytiXon
  • The OG Clever Machine
  • Tim Dettmers
  • Memming
  • The Spectator
  • Blog của 5xu
  • when trees fall...
  • Vuhavan's Blog
  • Tuấn Khanh's Blog
  • Thích Học Toán

RSS The Spectator

  • Harnessing Machine Learning to Achieve Net Zero

RSS Học trò trường làng

  • Hồn đình
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Jeff Gore's Blog

Jeff Gore is a biophysicist at MIT, but this site will have general thoughts on science, academica, and society

Viết những câu chuyện nhỏ

Hiệu Minh Blog

Càng đi xa, càng thấy mình nhỏ bé

AnalytiXon

Broaden your Horizon

The OG Clever Machine

Topics in Computational Neuroscience & Machine Learning

Tim Dettmers

Making deep learning accessible.

Memming

the inconsistent

The Spectator

Shakir's Machine Learning Blog

Blog của 5xu

Ti hí nhìn đời

when trees fall...

Vuhavan's Blog

Just another WordPress.com weblog

Tuấn Khanh's Blog

Nơi lưu trữ và cập nhật các bài viết, hình ảnh từ Tuấn Khanh (ns)

Thích Học Toán

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