Novel Quantum Circuit Designs of Random Injection and Payoff Computation for Financial Risk Assessment
Yu-Ting Kao, Yeong-Jar Chang, Ying-Wei Tseng

TL;DR
This paper introduces innovative quantum circuit designs for random injection and payoff calculation, enabling scalable, parallel financial risk assessment with potential for quantum supremacy demonstration.
Contribution
It presents a novel integrated quantum circuit framework for random number injection and payoff computation, scalable to large parallelism, and validated on IBM Qiskit.
Findings
Confirmed randomness injection in quantum circuits.
Validated payoff computation accuracy.
Demonstrated scalability potential to large quantum systems.
Abstract
Quantum entanglement enables exponential computational states, while superposition provides inherent parallelism. Consequently, quantum circuits are theoretically capable of supporting large scale parallel computation. However, applying them to financial analysis particularly in the areas of random number generation and payoff computation remains a significant challenge. Experts generally believe that quantum computing relies on matrix operations, which are deterministic in nature without randomness. This inherent determinism makes it particularly challenging to design quantum circuits that require random number injection. JP Morgan[1] introduced the piecewise linear (PWL) approach for modeling payoff computations but did not disclose a quantum circuit capable of identifying values exceeding the strike price, suggesting a possible reliance on classical pre processing for interval…
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