Quantum Generative Adversarial Networks (QGANs)
Irfan Azim Saherwardi
Innovation Leader | Visionary & Thought Leader | DXC Master Technologist | IBM Accredited IT Architect | Fellow at IEI India (ieindia.org)
🧠 What are QGANs (Quantum GANs)?
QGANs are a quantum adaptation of classical GANs, where quantum computing is used to enhance the generation and/or discrimination of data. They're designed to leverage quantum properties like superposition and entanglement to model and generate data distributions beyond the reach of classical GANs.
At a high level: 🧬 A Quantum Generator tries to produce data 🧪 A Quantum or Classical Discriminator tries to distinguish between real and fake data
🔁 How Do QGANs Work?
⚛️ Why Use Quantum in GANs?
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🧪 Current Use Cases (Experimental Stage)
🚧 Challenges
📚 Key Papers & Work
⚙️ Tools for Playing with QGANs