Quantifying entanglement preservability of experimental processes
- URL: http://arxiv.org/abs/2006.05346v4
- Date: Thu, 9 Sep 2021 06:39:00 GMT
- Title: Quantifying entanglement preservability of experimental processes
- Authors: Shih-Hsuan Chen, Meng-Lok Ng, Che-Ming Li
- Abstract summary: Preserving entanglement is a crucial dynamical process for quantum computation and quantum-information processes.
We use two measures, namely composition and robustness, for quantitatively characterizing the ability of a process to preserve entanglement.
We show that the measures and introduced benchmark are experimentally feasible and require only local measurements on single qubits and preparations of separable states.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Preserving entanglement is a crucial dynamical process for entanglement-based
quantum computation and quantum-information processes, such as one-way quantum
computing and quantum key distribution. However, the problem of quantifying the
ability of an experimental process to preserve two-qubit entanglement in
experimentally feasible ways is not well understood. Accordingly, herein, we
consider the use of two measures, namely composition and robustness, for
quantitatively characterizing the ability of a process to preserve
entanglement, referred to henceforth as entanglement preservability. A fidelity
benchmark is additionally derived to identify the ability of a process to
preserve entanglement. We show that the measures and introduced benchmark are
experimentally feasible and require only local measurements on single qubits
and preparations of separable states. Moreover, they are applicable to all
physical processes that can be described using the general theory of quantum
operations, e.g., qubit dynamics in photonic and superconducting systems. Our
method extends the existing tools for analyzing channels, e.g., channel
resource theory, to quantify entanglement preservability for
non-trace-preserving quantum processes. The results are of significant interest
for applications in quantum-information processing in which entanglement
preservation is required.
Related papers
- Effect of the readout efficiency of quantum measurement on the system entanglement [44.99833362998488]
We quantify the entanglement for a particle on a 1d quantum random walk under inefficient monitoring.
We find that the system's maximal mean entanglement at the measurement-induced quantum-to-classical crossover is in different ways by the measurement strength and inefficiency.
arXiv Detail & Related papers (2024-02-29T18:10:05Z) - Power Characterization of Noisy Quantum Kernels [52.47151453259434]
We show that noise may make quantum kernel methods to only have poor prediction capability, even when the generalization error is small.
We provide a crucial warning to employ noisy quantum kernel methods for quantum computation.
arXiv Detail & Related papers (2024-01-31T01:02:16Z) - Entanglement cost of realizing quantum processes [5.086696108576776]
We develop an efficiently computable tool that reliably estimates the amount of entanglement needed for realizing arbitrary quantum processes.
Our tool applies to the entanglement required to prepare a broad range of quantum states in the regime, surpassing previous methods' limitations.
arXiv Detail & Related papers (2023-11-17T17:07:26Z) - Quantification of Entanglement and Coherence with Purity Detection [16.01598003770752]
Entanglement and coherence are fundamental properties of quantum systems, promising to power near future quantum technologies.
Here, we demonstrate quantitative bounds to operationally useful entanglement and coherence.
Our research offers an efficient means of verifying large-scale quantum information processing.
arXiv Detail & Related papers (2023-08-14T11:03:40Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Estimate distillable entanglement and quantum capacity by squeezing useless entanglement [5.086696108576776]
Quantum Internet relies on quantum entanglement as a fundamental resource for secure and efficient quantum communication.
It remains challenging to accurately estimate the distillable entanglement and its closely related essential quantity, the quantum capacity.
We propose efficiently computable upper bounds for both quantities based on the idea that the useless entanglement within a state or a quantum channel does not contribute to the distillable entanglement or the quantum capacity.
arXiv Detail & Related papers (2023-03-13T16:02:18Z) - Potential and limitations of quantum extreme learning machines [55.41644538483948]
We present a framework to model QRCs and QELMs, showing that they can be concisely described via single effective measurements.
Our analysis paves the way to a more thorough understanding of the capabilities and limitations of both QELMs and QRCs.
arXiv Detail & Related papers (2022-10-03T09:32:28Z) - Memory Complexity of Quantum Processes [0.0]
Generic open quantum dynamics can be described by two seemingly very distinct approaches.
The process tensor framework describes all the possible observations one could possibly make on a quantum system.
The intimate connection between quantum processes and classical processes is drawn in the end.
arXiv Detail & Related papers (2022-03-03T03:04:33Z) - Quantum Causal Unravelling [44.356294905844834]
We develop the first efficient method for unravelling the causal structure of the interactions in a multipartite quantum process.
Our algorithms can be used to identify processes that can be characterized efficiently with the technique of quantum process tomography.
arXiv Detail & Related papers (2021-09-27T16:28:06Z) - Cost of quantum entanglement simplified [13.683637401785505]
We introduce an entanglement measure that has a precise information-theoretic meaning as the exact cost required to prepare an entangled state.
Our results bring key insights into the fundamental entanglement structure of arbitrary quantum states, and they can be used directly to assess and quantify the entanglement produced in quantum-physical experiments.
arXiv Detail & Related papers (2020-07-28T14:36:23Z) - Direct estimation of quantum coherence by collective measurements [54.97898890263183]
We introduce a collective measurement scheme for estimating the amount of coherence in quantum states.
Our scheme outperforms other estimation methods based on tomography or adaptive measurements.
We show that our method is accessible with today's technology by implementing it experimentally with photons.
arXiv Detail & Related papers (2020-01-06T03:50:42Z)
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.