Analog quantum simulation of partial differential equations
Shi Jin, Nana Liu

TL;DR
This paper introduces a novel analog quantum simulation method for directly solving various linear and some nonlinear PDEs using continuous-variable quantum systems called qumodes, avoiding discretization.
Contribution
It presents the Schrodingerisation technique to map D-dimensional PDEs onto (D+1)-qumode systems, enabling efficient analog quantum simulation without discretization.
Findings
Simulated Liouville, heat, Fokker-Planck, Black-Scholes, wave, and Maxwell's equations.
Applicable to nonlinear PDEs and systems of nonlinear ODEs.
New protocols for PDEs with random coefficients in uncertainty quantification.
Abstract
Quantum simulators were originally proposed for simulating one partial differential equation (PDE) in particular - Schrodinger's equation. Can quantum simulators also efficiently simulate other PDEs? While most computational methods for PDEs - both classical and quantum - are digital (PDEs must be discretised first), PDEs have continuous degrees of freedom. This suggests that an analog representation can be more natural. While digital quantum degrees of freedom are usually described by qubits, the analog or continuous quantum degrees of freedom can be captured by qumodes. Based on a method called Schrodingerisation, we show how to directly map D-dimensional linear PDEs onto a (D+1)-qumode quantum system where analog or continuous-variable Hamiltonian simulation on D+1 qumodes can be used. This very simple methodology does not require one to discretise PDEs first, and it is not only…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Quantum Information and Cryptography
