The dream-come-true scenario of the existence of quantum computers transforming our day-to-day lives is a nightmare scenario ...

Additionally, the factorization of singular matrix polynomials has been investigated, which is vital for understanding the numerical ranges of matrices and their properties. This research aims to ...

The single-shot factorization method represents a novel way to tackle energy eigenvalue problems, further emphasizing the importance of orthogonal polynomials in quantum mechanics[3]. Moreover ...

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In fact, the synthesis is formulated as a linear programming problem followed by a polynomial factorization. Additionally, the approach allows for the a-priori identification of the minimum size of ...

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Specifically, a polynomial fitting algorithm based on an extended Kalman ... in which an intelligently adjusted bias factor is proposed to enhance collaborative behavior among MDs. Extensive numerical ...

Introduction Imagine your secrets locked away in an unbreakable vault, guarded by complex mathematical puzzles. That’s essentially how modern cryptography works. But what if someone invented a super ...

The coefficients from the polynomial is what the solver uses to make the predictions ... I gave high cost to important factors and low weights to less priority factors. For example, my reference ...

WiMi has designed an entirely new QRAM architecture by introducing binary string polynomial encoding. In this design, Clifford+T circuits are utilized, and by optimizing the use of T gates ...

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Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...