Quantum Finance
Redefining the Core Pillars of Finance with Quantum Power
- Built To Order
- Production Ready
Quantum Finance is the future of financial intelligence—tackling foundational areas like portfolio optimization, derivatives pricing, risk management, fraud detection, and high-frequency trading. While current quantum and classical methods hit hard limits in portfolio scale and efficiency, Automatski shatters those barriers. With its Hybrid Optimization Algorithm, Automatski can optimize portfolios of over 100,000 assets—bringing quantum precision and performance to the full breadth of the NYSE and beyond.
What Is Quantum Finance?
At its core, Finance revolves around a few fundamental pillars:
- Portfolio Optimization
- Derivatives Pricing
- Risk Management
- Fraud Detection & Analytics
- High-Frequency Trading
These represent the essential building blocks of modern finance—and they are precisely what Automatski delivers in this domain.
The Limits of Current Capability in Portfolio Optimization
Portfolio optimization—especially via Sharpe Ratio Maximization (maximizing returns while minimizing risk)—is notoriously data- and compute-intensive.
- Existing quantum algorithms implemented globally can handle portfolios of approximately 50–60 assets. Some experimental claims go up to ~100 assets.
- Classical solvers, such as Gurobi and others, typically cap out at ~300 assets.
- To scale beyond these limits, engineers often resort to hierarchical decomposition, heuristics, and approximation techniques—which introduce inefficiencies and instability.
The Automatski Breakthrough
Automatski has developed a Hybrid Optimization Algorithm that—when deployed in production—can optimize portfolios with over 100,000 assets. That’s effectively the scale of the entire New York Stock Exchange, optimized with quantum-enhanced speed and accuracy.
Author : Aditya Yadav