Classifying Functions with Exact Synthesis

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Logic resynthesis is the problem of finding a dependency function to re-express a given Boolean function in terms of a given set of divisor functions. In this paper, we study logic resynthesis of majority-based circuits, which is motivated by the increasin ...

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We propose a flow for automated quantum compila- tion. Our flow takes a Boolean function implemented in Python as input and translates it into a format appropriate for reversible logic synthesis. We focus on two quantum compilation tasks: uniform state pre ...

In recent years, Boolean methods in logic synthesis have been drawing the attention of EDA researchers due to the continuous push to advance quality of results. Boolean methods require high computational cost, as they rely on complete functional properties ...

We consider various versions of the obstacle and thin-obstacle problems, we interpret them as variational inequalities, with non-smooth constraint, and prove that they satisfy a new constrained Lojasiewicz inequality. The difficulty lies in the fact that, ...

We prove a conjecture of Lecouvey, which proposes a closed, positive combinatorial formula for symplectic Kostka-Foulkes polynomials, in the case of rows of arbitrary weight. To show this, we construct a new algorithm for computing cocyclage in terms of wh ...

In recent years, the number and variety of heterogeneous multiprocessor system-on-chip MPSoCs, such as for instance Zynq platforms, has sensibly increased. However, today all design flow solutions capable of programming the different components of such pla ...

Classifying Functions with Exact Synthesis

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Differentially Private Multi-Agent Constraint Optimization

Algebraic and Boolean Optimization Methods for AQFP Superconducting Circuits

Three-Input Gates for Logic Synthesis

Preserving Self-Duality During Logic Synthesis for Emerging Reconfigurable Nanotechnologies

Automated Design: A Journey Across Modelling, Optimization, and Education

Logic Resynthesis of Majority-Based Circuits by Top-Down Decomposition

Learning from survey propagation: a neural network for MAX-E-3-SAT

From Boolean functions to quantum circuits: A scalable quantum compilation flow in C++

Extending Boolean Methods for Scalable Logic Synthesis

On the asymptotic behavior of the solutions to parabolic variational inequalities

A positive combinatorial formula for symplectic Kostka-Foulkes polynomials I: Rows

An Heterogeneous Compiler Of Dataflow Programs For Zynq Platforms