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quant-ph2025
Variational optical phase learning on a continuous-variable quantum compiler
Matthew A. Feldman, Tyler Volkoff, Seongjin Hong +5
Quantum process learning is a fundamental primitive that draws inspiration from machine learning with the goal of better studying the dynamics of quantum systems. One approach to q…
quant-ph2021
Universal compiling and (No-)Free-Lunch theorems for continuous variable quantum learning
Tyler Volkoff, Zoë Holmes, Andrew Sornborger
Quantum compiling, where a parameterized quantum circuit is trained to learn a target unitary, is an important primitive for quantum computing that can be used as a subroutine to o…