In this paper, motivated by the natural graph representation of quantum circuits, we propose a Graph Neural Networks (GNNs) based scheme to predict output expectation values of quantum circuits under ...

Author’s note: This article shows how to derive circuit gain equations via a signal flow graph. With practice you may be able to write a gain equation by locating signal paths and loops in the ...

Attribution Graphs Explorer is a framework for mechanistic interpretability of transformer models based on circuit tracing methods. The toolkit allows researchers to: Extract computational circuits ...

This example also illustrates default pattern behavior with maps and explicit placement of the legend on the graph. It shows how the default solid map pattern rotates through every color in a colors ...

However, it is challenging due to (1) the complexity of graph-structured circuit; (2) the varying-size topology of obfuscated circuits; (3) requirement on efficiency for deobfuscation method. This ...

Continued fractions are classical representations of complex objects (for example, real numbers) as sums and inverses of simpler objects (for example, integers). The analogy in linear circuit theory ...