activity
20242026
collaborators

9 papers

q-fin.PM2026

Quantum-Assisted Optimal Rebalancing with Uncorrelated Asset Selection for Algorithmic Trading Walk-Forward QUBO Scheduling via QAOA

Abraham Itzhak Weinberg

We present a hybrid classical-quantum framework for portfolio construction and rebalancing. Asset selection is performed using Ledoit-Wolf shrinkage covariance estimation combined…

cs.SE2025

A Framework for the Adoption and Integration of Generative AI in Midsize Organizations and Enterprises (FAIGMOE)

Abraham Itzhak Weinberg

Generative Artificial Intelligence (GenAI) presents transformative opportunities for organizations, yet both midsize organizations and larger enterprises face distinctive adoption…

cs.CR2025

Passive Hack-Back Strategies for Cyber Attribution: Covert Vectors in Denied Environment

Abraham Itzhak Weinberg

Attributing cyberattacks remains a central challenge in modern cybersecurity, particularly within denied environments where defenders have limited visibility into attacker infrastr…

cs.CR2025

Singularity Cipher: A Topology-Driven Cryptographic Scheme Based on Visual Paradox and Klein Bottle Illusions

Abraham Itzhak Weinberg

This paper presents the Singularity Cipher, a novel cryptographic-steganographic framework that integrates topological transformations and visual paradoxes to achieve multidimensio…

cs.CR2025

Preparing for the Post Quantum Era: Quantum Ready Architecture for Security and Risk Management (QUASAR) -- A Strategic Framework for Cybersecurity

Abraham Itzhak Weinberg

As quantum computing progresses, traditional cryptographic systems face the threat of obsolescence due to the capabilities of quantum algorithms. This paper introduces the Quantum-…

cs.IR2025

Human-Oriented Image Retrieval System (HORSE): A Neuro-Symbolic Approach to Optimizing Retrieval of Previewed Images

Abraham Itzhak Weinberg

Image retrieval remains a challenging task due to the complex interaction between human visual perception, memory, and computational processes. Current image search engines often s…