hybrid-quantum-financial-security - SKILL.md Agent Skill

name: hybrid-quantum-financial-security description: "End-to-end hybrid quantum-classical financial security pipeline integrating VQC forecasting, QUBO annealing, and post-quantum cryptographic signing. Unifies prediction and optimization for financial risk systems under real market constraints. Use when: hybrid quantum finance, VQC forecasting, QUBO portfolio optimization, post-quantum cryptography in finance, end-to-end quantum financial pipelines, financial risk management." license: Complete terms in LICENSE.txt metadata: arxiv_id: "2602.16976" published: "2026-02-13" authors: "Srikumar Nayak" tags: [quantum-finance, vqc, qubo, post-quantum, pipeline]

HQFS: Hybrid Quantum Classical Financial Security

Description

HQFS integrates Variational Quantum Circuit (VQC) forecasting with QUBO (Quadratic Unconstrained Binary Optimization) annealing and post-quantum cryptographic signing into a unified end-to-end pipeline for financial risk management. Addresses the fundamental gap between prediction quality and decision stability under real market constraints (lot sizes, position caps, regulatory requirements).

Core Problem

Traditional financial risk systems operate as a two-step pipeline:

Prediction: ML model forecasts returns/volatility
Optimization: Separate optimizer allocates portfolio

This split fails under real-world constraints because prediction errors compound during optimization. HQFS unifies both steps into a single trainable pipeline with audit-ready cryptographic signing.

Methodology

Step 1: VQC Forecasting

Variational Quantum Circuit processes time-series features
Quantum advantage via Hilbert space feature mapping
Captures nonlinear market patterns missed by classical models
Output: predicted returns and risk metrics

Step 2: QUBO Annealing

Portfolio allocation formulated as QUBO problem
Real market constraints encoded as penalty terms:
- Lot size constraints (integer positions)
- Position caps (maximum allocation per asset)
- Sector exposure limits
- Transaction cost modeling
Solved via quantum annealing (D-Wave) or simulated annealing

Step 3: Post-Quantum Signing

All pipeline outputs cryptographically signed
Uses NIST-standardized post-quantum algorithms (ML-DSA, ML-KEM)
Ensures audit readiness and tamper-proof records
Critical for regulatory compliance in financial institutions

Key Advantages

Unified pipeline: Prediction errors directly inform optimization
Constraint-aware: Real market limits built into optimization
Audit-ready: Post-quantum signatures for compliance
End-to-end: Single pipeline replaces fragmented toolchain

Usage Patterns

Pattern 1: Financial Forecasting

Use VQC component for time-series prediction of stock returns, volatility, or trading volumes.

Pattern 2: Portfolio Optimization

Use QUBO formulation for constrained portfolio allocation under real market rules.

Pattern 3: End-to-End Pipeline

Run full HQFS pipeline: forecast -> optimize -> sign for auditable financial decisions.

Related Skills

quantum-finance - General quantum finance patterns
quantum-portfolio-optimization - QAOA-based portfolio optimization
quantum-finance-pipeline - Quantum financial pipeline patterns
qubo-federated-learning-security - QUBO in federated learning security