May 26, 2022 · This work proposes the state efficient ansatz (SEA) for accurate ground state preparation with improved trainability. We show that the SEA can ...
Among the numerous VQAs, the variational quantum eigensolver (VQE) for ground state estimation is a central one of both practical and theoretical interests. For ...
Then, we prove that barren plateaus can be efficiently mitigated by the SEA and the trainability can be further improved most quadratically by flexibly ...
Aug 5, 2024 · Then, we prove that barren plateaus can be efficiently mitigated by the SEA and the trainability can be further improved most quadratically by ...
Jun 14, 2022 · This work proposes the state efficient ansatz (SEA) for accurate quantum dynamics simulations with improved trainability. First, we show that ...
Sep 4, 2024 · As an example, variational quantum eigensolvers (VQEs) can be used to approximate the ground state of a given Hamiltonian H through a ...
Feb 3, 2023 · In the method, a small-sized task is solved with a VQA. Then the ansatz and its optimum parameters are transferred to tasks with larger sizes.
Mar 1, 2023 · Various numerical issues exist for these methods, however, including barren plateaus and large numbers of local minima. In this work, we ...
Jul 25, 2024 · Abstract—In recent years, variational quantum circuits. (VQCs) have been widely explored to advance quantum circuits.
In this project, we develop a Qiskit module that includes several proposals to reduce the impact of barren plateaus in variational quantum algorithms.
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