Quantification of Quantum Dynamical Properties with Two Experimental Settings

• URL: http://arxiv.org/abs/2508.19668v2
• Date: Sat, 20 Sep 2025 13:41:54 GMT
• Title: Quantification of Quantum Dynamical Properties with Two Experimental Settings
• Authors: Tzu-Liang Hsu, Kuan-Jou Wang, Chun-Hao Chang, Sheng-Yan Sun, Shih-Husan Chen, Ching-Jui Huang, Che-Ming Li,
• Abstract summary: We propose an approximate optimization method that estimates property measures using only two mutually unbiased bases.<n>This system-size independence prevents error accumulation and allows characterization of the intrinsic quantum dynamics.<n>Results show that our method is well-suited for estimation of dynamical properties in architectures ranging from chip-scale quantum processors to long-distance quantum networks.
• Score: 1.6182874672133758
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Characterizing quantum dynamics is essential for quantifying arbitrary properties of a quantum process -- such as its ability to exhibit quantum-mechanical dynamics or generate entanglement. However, current methods require a number of experimental settings that increases with system size, leading to artifacts from experimental errors. Here, we propose an approximate optimization method that estimates property measures using only two mutually unbiased bases to compute their lower and upper bounds, and to reconstruct the corresponding processes. This system-size independence prevents error accumulation and allows characterization of the intrinsic quantum dynamics. Compared with quantum process tomography, we experimentally validate our method on photonic fusion and controlled-NOT operations, demonstrating accurate resource estimation while substantially reducing the number of required Pauli experimental settings: from 81 to 10 for the photonic fusion and to 2 for the controlled-NOT. These results show that our method is well-suited for estimation of dynamical properties in architectures ranging from chip-scale quantum processors to long-distance quantum networks.

Related papers

• Experimental demonstration of enhanced quantum tomography via quantum reservoir processing [0.8672788660913944]
  We experimentally demonstrate a quantum reservoir processing approach for continuous-variable state reconstruction on a bosonic circuit quantum electrodynamics platform.<n>We show that the map learnt this way achieves high reconstruction fidelity for several test states, offering significantly enhanced performance over using a map calculated based on an idealised model of the system.
  arXiv  Detail & Related papers  (2024-12-15T02:02:43Z)
• Efficiency of Dynamical Decoupling for (Almost) Any Spin-Boson Model [44.99833362998488]
  We analytically study the dynamical decoupling of a two-level system coupled with a structured bosonic environment.<n>We find sufficient conditions under which dynamical decoupling works for such systems.<n>Our bounds reproduce the correct scaling in various relevant system parameters.
  arXiv  Detail & Related papers  (2024-09-24T04:58:28Z)
• Full Band Structure Calculation of Semiconducting Materials on a Noisy Quantum Processor [2.6327434138210095]
  We propose the Reduced Quantum Equation-of-Motion method to find the entire energy spectrum of a quantum system. We analyse the performance of our method on two noise models and calculate the excitation energies of a bulk Silicon and Gallium Arsenide using our method on an IBM quantum processor.
  arXiv  Detail & Related papers  (2024-05-15T06:35:39Z)
• Dynamical Mean Field Theory for Real Materials on a Quantum Computer [0.0]
  We report on the development of a hybrid quantum-classical DFT+DMFT simulation framework. Hardware experiments with up to 14 qubits on the IBM Quantum system are conducted. We showcase the utility of our quantum DFT+DMFT workflow by assessing the correlation effects on the electronic structure of a real material.
  arXiv  Detail & Related papers  (2024-04-15T07:45:50Z)
• Amplification of quantum transfer and quantum ratchet [56.47577824219207]
  We study a model of amplification of quantum transfer and making it directed which we call the quantum ratchet model. The ratchet effect is achieved in the quantum control model with dissipation and sink, where the Hamiltonian depends on vibrations in the energy difference synchronized with transitions between energy levels. Amplitude and frequency of the oscillating vibron together with the dephasing rate are the parameters of the quantum ratchet which determine its efficiency.
  arXiv  Detail & Related papers  (2023-12-31T14:04:43Z)
• Enhanced Entanglement in the Measurement-Altered Quantum Ising Chain [43.80709028066351]
  Local quantum measurements do not simply disentangle degrees of freedom, but may actually strengthen the entanglement in the system.<n>This paper explores how a finite density of local measurement modifies a given state's entanglement structure.
  arXiv  Detail & Related papers  (2023-10-04T09:51:00Z)
• Quantum correlation generation capability of experimental processes [5.552315676636436]
  EPR steering and Bell nonlocality illustrate two different kinds of correlations predicted by quantum mechanics. We show that the capability of an experimental process to create quantum correlations can be quantified. We demonstrate this utility by examining the experimental capability of creating quantum correlations with the controlled-phase operations on the IBM Quantum Experience and Amazon Braket Rigetti superconducting quantum computers.
  arXiv  Detail & Related papers  (2023-04-30T02:22:56Z)
• Tunable photon-mediated interactions between spin-1 systems [68.8204255655161]
  We show how to harness multi-level emitters with several optical transitions to engineer photon-mediated interactions between effective spin-1 systems. Our results expand the quantum simulation toolbox available in cavity QED and quantum nanophotonic setups.
  arXiv  Detail & Related papers  (2022-06-03T14:52:34Z)
• Numerical Simulations of Noisy Quantum Circuits for Computational Chemistry [51.827942608832025]
  Near-term quantum computers can calculate the ground-state properties of small molecules. We show how the structure of the computational ansatz as well as the errors induced by device noise affect the calculation.
  arXiv  Detail & Related papers  (2021-12-31T16:33:10Z)
• Experimental verification of fluctuation relations with a quantum computer [68.8204255655161]
  We use a quantum processor to experimentally validate a number of theoretical results in non-equilibrium quantum thermodynamics. Our experiments constitute the experimental basis for the understanding of the non-equilibrium energetics of quantum computation.
  arXiv  Detail & Related papers  (2021-06-08T14:16:12Z)
• Circuit quantum electrodynamics (cQED) with modular quasi-lumped models [0.23624125155742057]
  Method partitions a quantum device into compact lumped or quasi-distributed cells. We experimentally validate the method on large-scale, state-of-the-art superconducting quantum processors.
  arXiv  Detail & Related papers  (2021-03-18T16:03:37Z)
• Neural network quantum state tomography in a two-qubit experiment [52.77024349608834]
  Machine learning inspired variational methods provide a promising route towards scalable state characterization for quantum simulators. We benchmark and compare several such approaches by applying them to measured data from an experiment producing two-qubit entangled states. We find that in the presence of experimental imperfections and noise, confining the variational manifold to physical states greatly improves the quality of the reconstructed states.
  arXiv  Detail & Related papers  (2020-07-31T17:25:12Z)

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.