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Quantum Circuits for partial differential equations via Schr\"odingerisation
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Quantum computing has emerged as a promising avenue for achieving significant speedup, particularly in large-scale PDE simulations, compared to classical computing. One of the main quantum approaches involves utilizing Hamiltonian simulation, which is directly applicable only to Schr\"odinger-type equations. To address this limitation, Schr\"odingerisation techniques have been developed, employing the warped transformation to convert general linear PDEs into Schr\"odinger-type equations. However, despite the development of Schr\"odingerisation techniques, the explicit implementation of the corresponding quantum circuit for solving general PDEs remains to be designed. In this paper, we present detailed implementation of a quantum algorithm for general PDEs using Schr\"odingerisation techniques. We provide examples of the heat equation, and the advection equation approximated by the upwind scheme, to demonstrate the effectiveness of our approach. Complexity analysis is also carried out to demonstrate the quantum advantages of these algorithms in high dimensions over their classical counterparts.
Forward citations
Cited by 4 Pith papers
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Quantum algorithm for solving nonlinear differential equations based on physics-informed effective Hamiltonians
Differential equations are solved on a quantum computer by preparing the ground state of a Hamiltonian constructed from Chebyshev differential and data constraints, bypassing variational search.
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Distributed Quantum Dynamics on Near-Term Quantum Processors
dp-VQD combines projected variational quantum dynamics with wire cutting to run Hamiltonian evolution on more qubits than a single device has, using cuttable ansatze and a sliced Trotter step.
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Schr\"odingerization based Quantum Circuits for Maxwell's Equation with time-dependent source terms
An explicit qubit-based quantum circuit for Maxwell's equations with PEC boundaries and time-dependent sources is constructed via Schrödingerization and autonomization, with gate-complexity analysis.
- Automated Auxiliary Qubit Allocation in High-Level Quantum Programming
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