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quant-ph2025
Deep Learning in Classical and Quantum Physics
Timothy Heightman, Marcin Płodzień
Scientific progress is tightly coupled to the emergence of new research tools. Today, machine learning (ML)-especially deep learning (DL)-has become a transformative instrument for…
quant-ph2025
Heisenberg-Limited Quantum Hamiltonian Learning via Randomly Spread Product-States
Bora Baran, Timothy Heightman
We show how the Heisenberg-limited quadratic Fisher-information regime of short-time quantum evolution can be made practically accessible for quantum Hamiltonian learning, using on…
quant-ph2025
Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations
Timothy Heightman, Edward Jiang, Ruth Mora-Soto +2
Quantum machine learning (QML) seeks to exploit the intrinsic properties of quantum mechanical systems, including superposition, coherence, and quantum entanglement for classical d…