Randomness-free Detection of Non-projective Measurements: Qubits & beyond
- URL: http://arxiv.org/abs/2412.00213v1
- Date: Fri, 29 Nov 2024 19:22:37 GMT
- Title: Randomness-free Detection of Non-projective Measurements: Qubits & beyond
- Authors: Sumit Rout, Some Sankar Bhattacharya, Paweł Horodecki,
- Abstract summary: Non-projective measurements are resourceful in several information-processing protocols.
We show that the detection of qubit non-projective measurement is robust under arbitrary depolarising noise.
We extend the notion of non-projective measurements to general probabilistic theories.
- Score: 0.0
- License:
- Abstract: Non-projective measurements are resourceful in several information-processing protocols. In this work, we propose an operational task involving space-like separated parties to detect measurements that are neither projective nor a classical post-processing of data obtained from a projective measurement. In the case of qubits, we consider a bipartite scenario and different sets of target correlations. While some correlations in each of these sets can be obtained by performing non-projective measurements on some shared two-qubit state it is impossible to simulate correlation in any of them using projective simulable measurements on bipartite qubit states or equivalently one bit of shared randomness. While considering certain sets of target correlations we show that the detection of qubit non-projective measurement is robust under arbitrary depolarising noise (except in the limiting case). For qutrits, while considering a similar task we show that some correlations obtained from local non-projective measurements are impossible to be obtained while performing the same qutrit projective simulable measurements by both parties. We provide numerical evidence of its robustness under arbitrary depolarising noise. For a more generic consideration (bipartite and tripartite scenario), we provide numerical evidence for a projective-simulable bound on the reward function for our task. We also show a violation of this bound by using qutrit POVMs. From a foundational perspective, we extend the notion of non-projective measurements to general probabilistic theories (GPTs) and use a randomness-free test to demonstrate that a class of GPTs, called square-bits or box-world are unphysical.
Related papers
- Pretty-good simulation of all quantum measurements by projective measurements [0.0]
In quantum theory general measurements are described by so-called Positive Operator-Valued Measures (POVMs)
We show that in $d$-dimensional quantum systems an application of depolarizing noise with constant (independent of $d$) visibility parameter makes any POVM simulable by a randomized implementation of projective measurements.
This result significantly limits the advantage that POVMs can offer over projective measurements in various information-processing tasks.
arXiv Detail & Related papers (2025-01-16T07:47:24Z) - To Believe or Not to Believe Your LLM [51.2579827761899]
We explore uncertainty quantification in large language models (LLMs)
We derive an information-theoretic metric that allows to reliably detect when only epistemic uncertainty is large.
We conduct a series of experiments which demonstrate the advantage of our formulation.
arXiv Detail & Related papers (2024-06-04T17:58:18Z) - Sharing Asymmetric Einstein-Podolsky-Rosen Steering with Projective Measurements [9.798839832137508]
Einstein-Podolsky-Rosen (EPR) steering exhibits distinct asymmetric characteristics.
EPR steering serves as the necessary quantum resource for one-sided device-independent quantum information tasks.
Our work deepens the understanding of the role of projective measurements in sharing quantum correlations.
arXiv Detail & Related papers (2024-05-10T05:46:51Z) - Unbounded Sharing of Nonlocality Using Projective Measurements [0.0]
A sharp projective measurement in one side of the Bell experiment destroys the entanglement of the shared state.
We introduce a local randomness-assisted projective measurement protocol, enabling the sharing of nonlocality by an arbitrary number of sequential observers.
arXiv Detail & Related papers (2023-11-14T08:09:16Z) - ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models [69.50316788263433]
We propose ProbVLM, a probabilistic adapter that estimates probability distributions for the embeddings of pre-trained vision-language models.
We quantify the calibration of embedding uncertainties in retrieval tasks and show that ProbVLM outperforms other methods.
We present a novel technique for visualizing the embedding distributions using a large-scale pre-trained latent diffusion model.
arXiv Detail & Related papers (2023-07-01T18:16:06Z) - Randomness-free Test of Non-classicality: a Proof of Concept [0.0]
Existing schemes to certify such non-classical resources in a device-independent manner require seed randomness.
We propose and experimentally implement a semi-device independent certification technique for both quantum correlations and non-projective measurements without seed randomness.
arXiv Detail & Related papers (2023-03-13T10:44:16Z) - Some Entanglement Survives Most Measurements [1.3812010983144802]
We investigate the limitations of repeated non-projective measurements in preparing a quantum system.
We show that some entanglement remains unless one of the measurement operators becomes perfectly projective.
We present results for $n$-qubit and $n$-dimensional input states.
arXiv Detail & Related papers (2023-02-14T08:02:27Z) - Importance sampling for stochastic quantum simulations [68.8204255655161]
We introduce the qDrift protocol, which builds random product formulas by sampling from the Hamiltonian according to the coefficients.
We show that the simulation cost can be reduced while achieving the same accuracy, by considering the individual simulation cost during the sampling stage.
Results are confirmed by numerical simulations performed on a lattice nuclear effective field theory.
arXiv Detail & Related papers (2022-12-12T15:06:32Z) - Experimentally determining the incompatibility of two qubit measurements [55.41644538483948]
We describe and realize an experimental procedure for assessing the incompatibility of two qubit measurements.
We demonstrate this fact in an optical setup, where the qubit states are encoded into the photons' polarization degrees of freedom.
arXiv Detail & Related papers (2021-12-15T19:01:44Z) - Neural Methods for Point-wise Dependency Estimation [129.93860669802046]
We focus on estimating point-wise dependency (PD), which quantitatively measures how likely two outcomes co-occur.
We demonstrate the effectiveness of our approaches in 1) MI estimation, 2) self-supervised representation learning, and 3) cross-modal retrieval task.
arXiv Detail & Related papers (2020-06-09T23:26:15Z) - Distributed, partially collapsed MCMC for Bayesian Nonparametrics [68.5279360794418]
We exploit the fact that completely random measures, which commonly used models like the Dirichlet process and the beta-Bernoulli process can be expressed as, are decomposable into independent sub-measures.
We use this decomposition to partition the latent measure into a finite measure containing only instantiated components, and an infinite measure containing all other components.
The resulting hybrid algorithm can be applied to allow scalable inference without sacrificing convergence guarantees.
arXiv Detail & Related papers (2020-01-15T23:10:13Z)
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.