[Neuqubit Insights] Convergence of Neural Networks and Quantum Computing in Long-Short Strategies
Institutional Research | Neuqubit Labs Convergence of Neural & Quantum in Long-Short Strategies Published: Feb 2026 | Report ID: NQ-2026-002 | Topic: Quantum Finance Executive Summary Long-short strategies remain the cornerstone of market-neutral alpha generation, profiting from the relative performance of "Long" (strong) vs. "Short" (weak) positions. Recent empirical evidence suggests that Quantum-Enhanced Neural (QEN) frameworks significantly improve predictive accuracy and risk-adjusted returns. Key breakthroughs in cross-sectional forecasting, time-series modeling, and multi-asset optimization have demonstrated Sharpe ratio improvements of 40–70% over classical benchmarks in 2025–2026. This note outlines the practical integration of these technologies in modern strategy development. 1. Cross-Sectional Return Prediction: The Rise of QTCNN The efficacy of a long-short portfolio hinges on its ability to rank future returns across a broad universe...