Quantum Computing in Finance Is in Trial. My Humble Quantum Model Is Already in Production — on a GPU.
On September 24, 2025, Bloomberg reported that HSBC, working with IBM, achieved a 34% improvement in bond price prediction using a quantum computer (the Heron processor).
đź”— Bloomberg article: https://www.bloomberg.com/news/articles/2025-09-24/hsbc-says-it-s-beaten-wall-street-rivals-with-new-quantum-trial
This was an important step forward — but context matters. The HSBC–IBM trial relied on a probabilistic system. By design, quantum computing operates on probabilities: powerful, but uncertain, costly to maintain, and still at proof-of-concept stage. No one knows if (or when) quantum hardware will become as affordable and accessible as CPUs or GPUs.
Meanwhile, there is another path. My work on the Total Wave Modified Schrödinger Equation (TWMSE) provides a deterministic alternative. Instead of relying on probabilities, TWMSE applies wave-collapse logic to deliver consistent, testable predictive power.
And it doesn’t need exotic hardware — it runs on GPUs anyone can buy. (Mine runs on an Aftershock gaming PC.)
Most importantly, TWMSE is already operational. Unlike HSBC’s trial, which wasn’t live, TWMSE is in production now, generating directional signals in financial markets with measurable Sharpe ratios and hit rates.
đź’ˇ Why Investors Should Care
Cost Advantage: Quantum computers are expensive and limited. TWMSE runs on affordable GPUs, making it immediately deployable.
Accessibility: No need to wait for quantum hardware to mature — TWMSE works today with off-the-shelf computing power.
Determinism vs. Probabilities: Investors prefer clarity. Probabilistic outcomes create uncertainty; TWMSE delivers deterministic signals.
Risk Management: Predictive models are only as useful as their reliability. TWMSE provides consistent collapse logic rather than stochastic trial outputs.
Scalability: From trading desks to institutional systems, TWMSE can scale with GPU clusters at a fraction of quantum’s cost.
đź“‘ Supporting Research
For readers who want to dive deeper, here are my recent publications:
Quantum Computing in Finance: Still in Trial, While Deterministic Wave-Based Models Deliver Now
Zenodo: https://doi.org/10.5281/zenodo.17200006The Total Wave Modified Schrödinger Equation in Financial Prediction: Modeling Markets as Fields of Collapse
Zenodo: https://doi.org/10.5281/zenodo.16890161The Total Wave Book (3-Volume Series) — Amazon Kindle, Paperback, Hardcover
https://www.amazon.com/dp/B0FPWTMJXLAll of my Zenodo papers are related to the Total Wave Modified Schrödinger Equation (TWMSE). You can explore them via this hub record (it links to every paper): https://doi.org/10.5281/zenodo.17200006
🏛️ Intellectual Property
The predictive logic of TWMSE is patent pending under U.S. Application No. 19/318,749 (“System and Method for Trading and Risk Management via Quantum Physics Collapse Dynamics”, filed September 4, 2025). This ensures that the framework can be licensed, integrated, or expanded within commercial and institutional environments.
👉 In short: quantum finance is still in trial. But a humble, GPU-powered model — deterministic, efficient, and already running — is here today.