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quant-ph2022★ 4 cited
Predicting Properties of Quantum Systems with Conditional Generative Models
Haoxiang Wang, Maurice Weber, Josh Izaac +1
Machine learning has emerged recently as a powerful tool for predicting properties of quantum many-body systems. For many ground states of gapped Hamiltonians, generative models ca…
quant-ph2022★ 1 cited
Quantum computing with differentiable quantum transforms
Olivia Di Matteo, Josh Izaac, Tom Bromley +6
We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiabil…