David R. M. Arvidsson-Shukur
5 papers in the PaperMetrix corpus
Papers by this author
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Hamiltonian singular value transformation and inverse block encoding
2021 · arXiv (Cornell University)
The quantum singular value transformation is a powerful quantum algorithm that allows one to apply a polynomial transformation to the singular values of a matrix that is embedded as a block of a unitary transformation. …
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Qubit-excitation-based adaptive variational quantum eigensolver
2021 · Communications Physics
Abstract Molecular simulations with the variational quantum eigensolver (VQE) are a promising application for emerging noisy intermediate-scale quantum computers. Constructing accurate molecular ansätze that are easy to optimize and implemented by shallow quantum circuits is …
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Compression of metrological quantum information in the presence of noise
2023 · arXiv (Cornell University)
In quantum metrology, information about unknown parameters $\mathbfθ = (θ_1,\ldots,θ_M)$ is accessed by measuring probe states $\hatρ_{\mathbfθ}$. In experimental settings where copies of $\hatρ_{\mathbfθ}$ can be produced rapidly (e.g., in optics), the information-extraction bottleneck can …
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Dynamic adaptive quantum approximate optimization algorithm for shallow, noise-resilient circuits
2024 · Physical Review A
The quantum approximate optimization algorithm (QAOA) is an appealing proposal to solve NP problems on noisy intermediate-scale quantum (NISQ) hardware. Making NISQ implementations of the QAOA resilient to noise requires short ansatz circuits with as …
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Comment on “Saturating quantum advantages in postselected metrology with the positive Kirkwood-Dirac distribution”
2024 · Physical Review A
In a recent paper [Das, Modak, and Bera, Phys. Rev. A 107, 042413 (2023)], Das et al. claim that Kirkwood-Dirac negativity is not required to achieve anomalous values of the quantum Fisher information encoded in …