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cs.LG2025
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht +4
Quantum computing is currently strongly limited by the impact of noise, in particular introduced by the application of two-qubit gates. For this reason, reducing the number of two-…
cs.LG2024★ 3 cited
Fourier Analysis of Variational Quantum Circuits for Supervised Learning
Marco Wiedmann, Maniraman Periyasamy, Daniel D. Scherer
VQC can be understood through the lens of Fourier analysis. It is already well-known that the function space represented by any circuit architecture can be described through a trun…