Overview of Qtml 2025 Decoded Quantum Interferometry
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QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations
QTML 2025: Quantum thermodynamics and semi-definite optimization
QTML 2025: AI for Quantum: Toward AI-Enhanced Quantum Computing Applications
QTML 2025: Beyond Penrose tensor diagrams with the ZX-calculus
Stephen Jordan: Optimization by Decoded Quantum Interferometry (QIP 2025)
QTML 2025: Quantum world models for a quantum world
QTML 2025: Efficient quantum state preparation of multivariate functions using tensor networks
QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models
QTML 2025: QuantumBoost: A Lazy, Yet Fast, Quantum Algorithm For Learning
An Interview with the Winner of the 2025 Nobel Prize in Physics, John Martinis
QTML 2025: Testing and Verification for Quantum Learning
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Last Updated: August 16, 2026
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