Variational Quantum Eigensolver for the Analysis of High-Resolution NMR Spectra: Applications to AB and AB2 Spin Systems
- URL: http://arxiv.org/abs/2603.05738v1
- Date: Thu, 05 Mar 2026 22:53:16 GMT
- Title: Variational Quantum Eigensolver for the Analysis of High-Resolution NMR Spectra: Applications to AB and AB2 Spin Systems
- Abstract summary: Variational Quantum Eigensolver (VQE) was suggested as a first VQA.<n>VQE is based on the variational method of quantum mechanics.<n>It is used to find the ground state energy of a quantum system.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Variational Quantum Algorithms (VQAs) are hybrid quantum-classical algorithms and they can be used in the Nosiy Intermadiate Scale Quantum (NISQ) devises. The Variational Quantum Eigensolver (VQE) was suggested as a first VQA. VQE is based on the variational method of quantum mechanics and it is used to find the ground state energy of a quantum system. In this study, VQE is used for the analysis of NMR spectra for the AB and AB2 spin systems. The frequencies and the spin coupling values are obtained from the sample spectra for these spin systems. Then the Hamiltonians are written in terms of pauli spin operators and transformed into a suitable forms for quantum computer. By employing VQE the ground state energies are obtained for the related spin systems. They are found to be in good agreement with the results obtained from the known variation method.
Related papers
- Quantum Simulation and Energy Estimation for Discretized Anharmonic oscillator [1.0079626733116613]
A quantum circuit with a filter-based design and Toffoli gates is constructed to track quantum state evolution.<n>For energy estimation, the Variational Quantum Eigensolver (VQE) with a TwoLocal ansatz and variational Quantum Deflation (VQD) are used.
arXiv Detail & Related papers (2025-09-25T08:49:09Z) - Towards Quantum Simulation of Rotating Nuclei using Quantum Variational Algorithms [0.0]
Quantum variational algorithms (QVAs) are becoming increasingly potent tools for simulating quantum many-body systems.<n>The application of QVAs to schematic model simulation is examined in this work.
arXiv Detail & Related papers (2025-06-22T15:00:57Z) - Simulating NMR Spectra with a Quantum Computer [49.1574468325115]
This paper provides a formalization of the complete procedure of the simulation of a spin system's NMR spectrum.
We also explain how to diagonalize the Hamiltonian matrix with a quantum computer, thus enhancing the overall process's performance.
arXiv Detail & Related papers (2024-10-28T08:43:40Z) - Benchmarking Variational Quantum Eigensolvers for Entanglement Detection in Many-Body Hamiltonian Ground States [37.69303106863453]
Variational quantum algorithms (VQAs) have emerged in recent years as a promise to obtain quantum advantage.
We use a specific class of VQA named variational quantum eigensolvers (VQEs) to benchmark them at entanglement witnessing and entangled ground state detection.
Quantum circuits whose structure is inspired by the Hamiltonian interactions presented better results on cost function estimation than problem-agnostic circuits.
arXiv Detail & Related papers (2024-07-05T12:06:40Z) - Quantum Subroutine for Variance Estimation: Algorithmic Design and Applications [80.04533958880862]
Quantum computing sets the foundation for new ways of designing algorithms.
New challenges arise concerning which field quantum speedup can be achieved.
Looking for the design of quantum subroutines that are more efficient than their classical counterpart poses solid pillars to new powerful quantum algorithms.
arXiv Detail & Related papers (2024-02-26T09:32:07Z) - Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction [39.58317527488534]
Energy extraction from quantum sources is a key task to develop new quantum devices such as quantum batteries.
One of the main issues to fully extract energy from the quantum source is the assumption that any unitary operation can be done on the system.
We propose an approach to optimize the extractable energy inspired by the variational quantum eigensolver (VQE) algorithm.
arXiv Detail & Related papers (2023-10-11T15:59:54Z) - QNEAT: Natural Evolution of Variational Quantum Circuit Architecture [95.29334926638462]
We focus on variational quantum circuits (VQC), which emerged as the most promising candidates for the quantum counterpart of neural networks.
Although showing promising results, VQCs can be hard to train because of different issues, e.g., barren plateau, periodicity of the weights, or choice of architecture.
We propose a gradient-free algorithm inspired by natural evolution to optimize both the weights and the architecture of the VQC.
arXiv Detail & Related papers (2023-04-14T08:03:20Z) - Variational quantum algorithms for local Hamiltonian problems [0.0]
Variational quantum algorithms (VQAs) are a modern family of quantum algorithms designed to solve optimization problems using a quantum computer.
We primarily focus on the algorithm called variational quantum eigensolver (VQE), which takes a qubit Hamiltonian and returns its approximate ground state.
arXiv Detail & Related papers (2022-08-23T22:32:56Z) - Quantum Circuits For Two-Dimensional Isometric Tensor Networks [0.0]
We give a detailed description of a quantum circuit version of the 2D tensor network (isoTNS) ansatz which we call qisoTNS.
We benchmark the performance of qisoTNS on two different 2D spin 1/2 Hamiltonians.
arXiv Detail & Related papers (2021-08-05T18:00:26Z) - Probing the Universality of Topological Defect Formation in a Quantum
Annealer: Kibble-Zurek Mechanism and Beyond [46.39654665163597]
We report on experimental tests of topological defect formation via the one-dimensional transverse-field Ising model.
We find that the quantum simulator results can indeed be explained by the KZM for open-system quantum dynamics with phase-flip errors.
This implies that the theoretical predictions of the generalized KZM theory, which assumes isolation from the environment, applies beyond its original scope to an open system.
arXiv Detail & Related papers (2020-01-31T02:55:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.