A Python implementation of the classical Rail Fence cipher with encryption and decryption support. Built for educational purposes to understand zigzag-based transposition and historical cryptographic ...

It's a theoretical Hybrid/Classical Quantum algorithm that outputs the best strategies to conduct on a randomize asset selectionize selection, followed by elements such as a Portoflio growth graph and ...

Abstract: This work concerns the comparison of evolutionary algorithms and standard optimization methods on two circuit design problems: the parameter extraction of device circuit model and the ...

Abstract: This research investigates the efficacy of quantum and classical algorithms in the context of portfolio optimization, focusing on a dataset comprising 20 equities from India's National Stock ...

MicroAlgo (MLGO) announced the development of an innovative hybrid algorithm that combines classical and quantum computing to optimize Multi-Query Optimization problems. “MicroAlgo’s hybrid algorithm ...

Researchers from the University of Chicago have presented a classical algorithm that simulates Gaussian boson sampling (GBS) experiments, challenging the notion of quantum advantage. Study: A new ...

A recent study published in Nature Physics proposed a quantum-inspired classical algorithm for solving zero-temperature cases in Gaussian boson sampling, revealing that these problems do not ...

Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 ...

We consider some classical and quantum approximate optimization algorithms with bounded depth. First, we define a class of “local” classical optimization algorithms and show that a single step version ...