AI-Powered Digital Twins for Quantum Hardware — with Quantum Elements
About this episode
The episode discusses the Constellation Platform by Quantum Elements, which uses AI to create digital twins for quantum hardware, enhancing simulation and error suppression.
The “Constellation Platform” is revolutionizing the path to fault-tolerant quantum computing. Rather than relying on traditional state vector simulations that hit a wall at 50 qubits, this platform from Quantum Elements uses a breakthrough method, stochastic compression, to create realistic digital twins of quantum hardware at scale. This approach allows developers to simulate the complex time evolution of a system, including specific noise models such as crosstalk and decoherence, without the high cost of running thousands of shots on physical QPUs. Host Konstantinos Karagiannis sits down with Izhar Medalsy, co-founder and CEO of Quantum Elements, to also explore the cutting-edge intersection of AI and quantum engineering, highlighting a “quantum copilot” in Constellation powered by Claude. This AI-native platform doesn't just help write context-specific code; it also acts as a virtual supervisor that can troubleshoot failed experiments by comparing real-world results with first-principles simulations. Whether you are a professional looking to optimize algorithms through advanced error suppression or a researcher seeking a hardware-agnostic layer to run code across different…
People in this episode
Host: Konstantinos Karagiannis
Guest: Izhar Medalsy
Topics covered
- quantum computing
- AI
- digital twins
- quantum hardware
- error suppression
- simulation
Keywords
- quantum computing
- digital twins
- AI-powered
- stochastic compression
- fault-tolerant
- simulation
- quantum engineering
Mentioned in this episode
Organizations: Quantum Elements, Protiviti
Products: Constellation Platform, Claude
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