Supervised quantum gate "teaching" for quantum hardware design
classification
💻 cs.LG
quant-phstat.ML
keywords
quantumnetworksupervisedalgorithmclassicalcomputerconstructioncontrol
read the original abstract
We show how to train a quantum network of pairwise interacting qubits such that its evolution implements a target quantum algorithm into a given network subset. Our strategy is inspired by supervised learning and is designed to help the physical construction of a quantum computer which operates with minimal external classical control.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.