Analog quantum simulation of parabolic partial differential equations using Jaynes-Cummings-like models
Shi Jin, Nana Liu

TL;DR
This paper introduces an efficient analog quantum simulation method using Jaynes-Cummings-like models to solve parabolic partial differential equations, leveraging simple Hamiltonian interactions and qudits for improved resource efficiency.
Contribution
It proposes a novel quantum simulation protocol for PDEs using hyperbolic approximations and Jaynes-Cummings-like interactions, optimizing resource use with qudits instead of qubits.
Findings
Efficient simulation of heat, Black-Scholes, and Fokker-Planck equations.
Use of a single d-level system (qudit) for d-dimensional problems.
Potential implementation in cavity and circuit QED systems.
Abstract
We present a simplified analog quantum simulation protocol for preparing quantum states that embed solutions of parabolic partial differential equations, including the heat, Black-Scholes and Fokker-Planck equations. The key idea is to approximate the heat equations by a system of hyperbolic heat equations that involve only first-order differential operators. This scheme requires relatively simple interaction terms in the Hamiltonian, which are the electric and magnetic dipole moment-like interaction terms that would be present in a Jaynes-Cummings-like model. For a d-dimensional problem, we show that it is much more appropriate to use a single d-level quantum system - a qudit - instead of its qubit counterpart, and d+1 qumodes. The total resource cost is efficient in d and precision error, and has potential for realisability for instance in cavity and circuit QED systems.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Quantum Information and Cryptography
