Using a Quantum Computer to Reveal Which U.S. Bank Outperforms the Rest

What if you could analyze every possible bank portfolio in seconds using a quantum supercomputer? My latest whitepaper uses quantum-inspired simulation to optimize investments across JPMorgan Chase, Bank of America, Citigroup, and Wells Fargo.

By exploring a 4-qubit quantum circuit approach on historical closing prices from 2023–2025, the study shows how adjusting risk preferences transforms optimal portfolio selection—from aggressive, diversified growth strategies to conservative, low-volatility allocations.

Quantum simulation provides probabilistic confidence, clear insights, and actionable guidance for investors aiming to maximize returns while managing risk.

Read the full whitepaper here:

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About the author

Dean Jay Mathew is an educator and researcher passionate about cyber security, with a focus on building and running FIPS 203/204/205 compliance tests via hybrid classical/post-quantum cryptography powered by ML-KEM (Kyber), ML-DSA (Dilithium), and SLH-DSA (SPHINCS+), providing robust preparation to future-proof data protection for organizations transitioning to post-quantum security.

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