Quantum amplitude damping for solving homogeneous linear differential equations: A noninterferometric algorithm
Jo\~ao H. Romeiro, Frederico Brito

TL;DR
This paper introduces a quantum algorithm leveraging amplitude damping to efficiently solve homogeneous linear differential equations, suitable for near-term quantum hardware with a focus on non-interferometric implementation.
Contribution
It presents a novel quantum algorithm using amplitude damping as a resource, enabling the solution of homogeneous LDEs with simple quantum circuits compatible with current hardware limitations.
Findings
Uses amplitude damping to construct exponential solution terms
Provides a circuit-based implementation with elementary gates
Guarantees a lower bound on success probability
Abstract
In contexts where relevant problems can easily attain configuration spaces of enormous sizes, solving Linear Differential Equations (LDEs) can become a hard achievement for classical computers; on the other hand, the rise of quantum hardware can conceptually enable such high-dimensional problems to be solved with a foreseeable number of qubits, whilst also yielding quantum advantage in terms of time complexity. Nevertheless, in order to bridge towards experimental realizations with several qubits and harvest such potential in a short-term basis, one must dispose of efficient quantum algorithms that are compatible with near-term projections of state-of-the-art hardware, in terms of both techniques and limitations. As the conception of such algorithms is no trivial task, insights on new heuristics are welcomed. This work proposes a novel approach by using the Quantum Amplitude Damping…
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations
