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Abstract: The Boolean formula satisfiability problem (SAT) plays a fundamental role in many practical applications, but is computationally challenging due to its NP-hard nature. Leveraging cloud ...

In the realm of data management, Excel stands out as a powerful tool, offering various functionalities to enhance efficiency and accuracy. Among these features, Boolean logic plays a critical role in ...

Abstract: In this paper are given two novel algorithms for minimization of recursive Boolean formula (RBF), which is adequate for implementation of N-input 1-output Boolean functions (BFs) over basis ...

Weighted Model counting (WMC) is a fundamental problem in computer science with a wide variety of applications in practice, ranging from neural network verification to network reliability. The current ...

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The optimism that deep neural networks, particularly those based on the Transformer design, will speed up scientific discovery stems from their contributions to previously intractable problems in ...

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The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. But its growth does not come without irony. While AI exists to ...

The propositional satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to ...

Mapping functions on bits to Hamiltonians acting on qubits has many applications in quantum computing. In particular, Hamiltonians representing Boolean functions are required for applications of ...