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Simulating the non-Hermitian dynamics of financial option pricing with quantum computers
Swagat Kumar1,2, Colin Michael Wilmott3
1Department of Mathematics, Nottingham Trent University, Nottingham, NG11 8NS, UK. swagat.kumar@insait.ai.
This study generalizes the quantum imaginary time evolution (QITE) algorithm beyond anti-Hermitian Hamiltonians. This enables solving partial differential equations, like the Black-Scholes equation for option pricing, using quantum computation.
Area of Science:
- Quantum Computing
- Computational Physics
- Financial Mathematics
Background:
- The Schrödinger equation governs quantum state evolution.
- Hermitian Hamiltonians ensure unitary dynamics.
- Anti-Hermitian Hamiltonians are used for imaginary time evolution to find ground states.
Purpose of the Study:
- To generalize the quantum imaginary time evolution (QITE) algorithm.
- To remove the restriction of QITE to anti-Hermitian Hamiltonians.
- To solve partial differential equations (PDEs) equivalent to the Schrödinger equation with arbitrary non-Hermitian Hamiltonians.
Main Methods:
- Developed a generalized QITE methodology.
- Applied the method to solve PDEs, including the Black-Scholes equation.
- Simulated normalized dynamics of non-unitary evolution on a quantum computer.
Main Results:
- Successfully broadened the scope of QITE for non-Hermitian Hamiltonians.
- Demonstrated the feasibility of the generalized QITE for pricing European option contracts.
- Showcased a quantum approach to solving the Black-Scholes equation.
Conclusions:
- The generalized QITE offers a powerful new tool for quantum computation.
- This method provides a feasible quantum approach for real-world applications in finance.
- Quantum computing can be leveraged to solve complex financial models like the Black-Scholes equation.
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