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  1. Home
  2. /Repositories
  3. /R-D-BioTech-Alaska/Qelm
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 24d ago

R-D-BioTech-Alaska/Qelm

Qelm - Quantum Enhanced Language Model

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 56%Quantum vs. Classical Machine Learning: A Unified Empirical Comparison →
  • PossiblePossibly related (embedding) · 47%Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning →
  • PossiblePossibly related (embedding) · 47%One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective →
  • PossiblePossibly related (embedding) · 46%Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations →
  • PossiblePossibly related (embedding) · 46%QpiAI Open-Sources Its Quantum SDK To Broaden Access To Quantum Software Development - SMBtech →
  • PossiblePossibly related (embedding) · 55%MIT and IBM Project Quantum Unity Operators into Language Model Latent Spaces for Multimodal Circuit Synthesis - Quantum Computing Report →
  • PossiblePossibly related (embedding) · 53%Aligning Quantum Operators With Large Language Models (LLMs) - Quantum Zeitgeist →
  • PossiblePossibly related (embedding) · 46%$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning →

Implements

paperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperOne More Time: Revisiting Neural Quantum States from a Reinforcement Learning PerspectivepaperBridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations

Covers (incoming)

newsQpiAI Open-Sources Its Quantum SDK To Broaden Access To Quantum Software Development - SMBtechnewsMIT and IBM Project Quantum Unity Operators into Language Model Latent Spaces for Multimodal Circuit Synthesis - Quantum Computing ReportnewsAligning Quantum Operators With Large Language Models (LLMs) - Quantum Zeitgeist

Implements (incoming)

paper$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning

Related across the graph

paperBridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular SimulationsnewsAligning Quantum Operators With Large Language Models (LLMs) - Quantum ZeitgeistpaperOne More Time: Revisiting Neural Quantum States from a Reinforcement Learning PerspectivepaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonnewsQpiAI Open-Sources Its Quantum SDK To Broaden Access To Quantum Software Development - SMBtechnewsMIT and IBM Project Quantum Unity Operators into Language Model Latent Spaces for Multimodal Circuit Synthesis - Quantum Computing Reportpaper$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learningpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning
Knowledge path·PBridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations→NAligning Quantum Operators With Large Language Models (LLMs) - Quantum Zeitgeist→POne More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective→RR-D-BioTech-Alaska/Qelm

Topics

aibrisbaneecosystemibmlarge-language-modelllmllm-trainingllmsqiskitquantum

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Graph trust82Primary
Graph score27