Quantum AI Hub

A curated, living index of papers, architectures, and advances at the intersection of Quantum Computing, Deep Learning, LLMs, and Vision — covering both fully quantum networks and hybrid quantum-classical models.

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🔬 What's Covered

Domain	Examples
Quantum NLP / LLMs	Quixer, HyQuT, QTHA, DisCoCat, lambeq, Quantum-PEFT
Quantum Vision	QViT (Cherrat 2024), QCNN, QMAE, Quanvolutional Networks
Quantum Generative Models	QuDDPM, MSQuDDPM, Quantum Boltzmann Machines
Quantum Algorithms	HHL, QSVT, ADAPT-VQE, TETRIS-ADAPT, Quantum MCMC
Theory	Barren Plateaus (DLA), Dequantization, Concentration
Hardware	Google Willow, Quantinuum Helios, IBM Heron, D-Wave Advantage2

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📁 Site Structure

quantum-ai-hub/
├── index.html                      ← Main page: timeline, hardware, conferences
├── papers/
│   ├── qvit-cherrat-2024.html      ← Quantum Vision Transformers (RBS gates)
│   ├── barren-plateaus-dla.html    ← Barren Plateaus via DLA (Ragone/Cerezo)
│   ├── hybrid-transformers.html    ← Quixer, HyQuT, QTHA
│   ├── quddpm.html                 ← Quantum Diffusion (QuDDPM, MSQuDDPM)
│   ├── hhl-qsvt.html               ← HHL & QSVT: Quantum Linear Algebra
│   └── discocat-lambeq.html        ← DisCoCat & lambeq: Compositional Quantum NLP
├── assets/
│   ├── css/style.css               ← Shared dark-theme stylesheet
│   └── js/main.js                  ← Search, filtering, animations
└── .github/workflows/pages.yml     ← Auto-deploy to GitHub Pages

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📐 Features

• MathJax 3 — LaTeX equations rendered in-browser (no server needed)
• Full-text search — Press / or Ctrl+K to search all papers
• Tag filtering — Filter by NLP, Vision, Theory, Hardware, etc.
• Dark academic theme — Quantum-inspired purple/cyan color scheme
• Architecture diagrams — ASCII/text circuit diagrams for all major architectures
• Hardware section — Google Willow, Quantinuum Helios, IBM Heron, D-Wave
• Conference table — QIP, NeurIPS, ICML, APS March, IEEE QCE, etc.

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📖 Paper Sub-pages (with equations & diagrams)

Each paper page includes:

• Full mathematical derivations (LaTeX via MathJax)
• Architecture diagrams (ASCII format, renders in all browsers)
• Complexity analysis
• Open bottlenecks and research frontiers
• Cross-links to related papers

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🔧 Adding New Papers

To add a paper, edit assets/js/main.js:

{ year: 2026, title: "Your Paper Title", authors: "Author et al.",
  tags: ["hybrid", "vision"], url: "https://arxiv.org/abs/XXXX.XXXXX",
  page: "papers/your-paper.html" }

Then add the entry to index.html in the appropriate year group.

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📚 Key Topics & Papers

Quantum NLP & LLMs

• DisCoCat (Coecke et al. 2010) — Categorical compositional semantics
• lambeq (Kartsaklis et al. 2021) — Python library for Quantum NLP
• Quixer (2024) — Full quantum self-attention via QRAM
• HyQuT (2024) — Hybrid quantum transformer (quantum V)
• QTHA (2024) — Token-level hybrid attention
• Quantum-PEFT (2025) — LoRA-style quantum fine-tuning

Quantum Vision

• QCNN (Cong, Choi, Lukin 2019) — Quantum convolutional networks
• QViT (Cherrat et al. 2024) — RBS-gate ViT with orthogonal layers
• QMAE (2025) — Quantum masked autoencoders for SSL

Quantum Generative Models

• QuDDPM (2024) — Quantum score network replaces U-Net
• MSQuDDPM (2024) — Multi-scale extension
• Quantum Boltzmann Machines — Gibbs sampling via quantum MCMC

Foundational Algorithms

• HHL (2009) — Exponential speedup for linear systems
• QSVT (2019) — Unified quantum algorithm framework
• Quantum MCMC (Layden et al. Nature 2023)

Theory & Bottlenecks

• Barren Plateaus (Ragone-Larocca 2024; Cerezo 2025) — DLA dimension theory
• Dequantization (Tang 2019) — Classical algorithms matching QML claims
• Kernel concentration (Thanasilp et al. 2023)

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🏛️ Maintained By

Rupesh | IIT Bombay | [email protected], [email protected]

Last updated: May 2026