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Marek Perkowski

Researcher at Portland State University

Publications -  338
Citations -  6047

Marek Perkowski is an academic researcher from Portland State University. The author has contributed to research in topics: Logic synthesis & Boolean function. The author has an hindex of 38, co-authored 328 publications receiving 5809 citations. Previous affiliations of Marek Perkowski include East West University & Warsaw University of Technology.

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Proceedings ArticleDOI

A new approach to AND/OR/EXOR factorization for regular arrays

TL;DR: The proposed factorization methods for regular arrays of two-input cells have several important advantages over the existing logic representations and methodologies and can be applied to fine-grain FPGA design, standard cell, gate matrix layout and sub-micron technologies.
Proceedings ArticleDOI

Efficient Implementation of Controlled Operations for Multivalued Quantum Logic

TL;DR: A new quantum array is presented that can be used to control a single-qudit hermitian operator for an odd radix r ≫ 2 by n controls using Theta(n^log_2 r + 2) single-QUdit controlled gates with one control and no ancilla qudits.

Blackfingers A Sophisticated Hand Prothesis

TL;DR: The properties and the morphology of a human like neural reflex controller, used to set the stiffness and joint positions of an artificial hand, and its ability to emulate the myotatic human reflex and its capacity to learn in real time the best control strategy are illustrated.
Journal ArticleDOI

Realization of Quantum Oracles using Symmetries of Boolean Functions

TL;DR: This work presents a quantum oracle design methodology based on lattices that has lower quantum cost with fewer ancilla qubits, and presents a decomposition-based algorithm that transforms non-symmetric functions into symmetric or partially symmetric functions.
Proceedings ArticleDOI

On Synthesis and Verification from Event Diagrams in a Robot Theatre Application

TL;DR: A new type of expressions called Event Expressions (EE), and diagrams called Event Diagrams (ED), that are used to describe robot behaviors (motions) that include operators from many known representations, such as Regular Expressions, Boolean and Fuzzy Logic plus many new operators.