Finding maximal quantum resources
- URL: http://arxiv.org/abs/2210.13475v3
- Date: Wed, 01 Jan 2025 12:28:50 GMT
- Title: Finding maximal quantum resources
- Abstract summary: We propose an algorithmic method to find maximally resourceful states of several particles for various applications and quantifiers.<n>We demonstrate the universality of our approach by applying it to maximally entangled subspaces, the Schmidt-rank, the stabilizer rank as well as the preparability in triangle networks.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: For many applications the presence of a quantum advantage crucially depends on the availability of resourceful states. Although the resource typically depends on the particular task, in the context of multipartite systems entangled quantum states are often regarded as resourceful. We propose an algorithmic method to find maximally resourceful states of several particles for various applications and quantifiers. We discuss in detail the case of the geometric measure, identifying physically interesting states and delivering insights to the problem of absolutely maximally entangled states. Moreover, we demonstrate the universality of our approach by applying it to maximally entangled subspaces, the Schmidt-rank, the stabilizer rank as well as the preparability in triangle networks.
Related papers
- Generalised quantum Stein's lemma more robust than ever [40.77349008361407]
generalised quantum Stein's lemma is a key result in quantum hypothesis testing.<n>We establish a version of generalised quantum Stein's lemma that is conceptually much simpler and general.
arXiv Detail & Related papers (2026-09-15T15:19:27Z) - Hysteretic squashed entanglement in many-body quantum systems [42.085941481155295]
Entanglement in many-body quantum systems is distributed across spatial regions.<n>We propose hysteretic entanglement $T_sq$, a conditional entanglement that measures the genuine quantum correlations between two subregions.<n>We show that $T_sq$ can detect genuine quantum correlations across both adjacent and long-range subsystems.
arXiv Detail & Related papers (2026-03-10T17:00:49Z) - A Variational Quantum Algorithm for Entanglement Quantification [0.3613661942047476]
We introduce a variational quantum algorithm inspired by Uhlmann's theorem to quantify the Bures entanglement of general quantum states.<n>The algorithm requires a number of ancillary qubits and circuit depth relative to the system size, dimensionality, and free state cardinality, making it scalable for practical implementations.
arXiv Detail & Related papers (2025-07-28T13:22:03Z) - Grassmann Variational Monte Carlo with neural wave functions [45.935798913942904]
We formalize the framework introduced by Pfau et al.citepfau2024accurate in terms of Grassmann geometry of the Hilbert space.<n>We validate our approach on the Heisenberg quantum spin model on the square lattice, achieving highly accurate energies and physical observables for a large number of excited states.
arXiv Detail & Related papers (2025-07-14T13:53:13Z) - Universal and Efficient Quantum State Verification via Schmidt Decomposition and Mutually Unbiased Bases [0.0]
We propose a universal protocol to verify arbitrary multipartite pure quantum states.<n>We establish a universal upper bound on the sample complexity that is independent of the local dimensions.
arXiv Detail & Related papers (2025-06-24T17:22:01Z) - Tensor Cross Interpolation of Purities in Quantum Many-Body Systems [0.0]
In quantum many-body systems the exponential scaling of the Hilbert space with the number of degrees of freedom renders a complete state characterization.
Recently, a compact way of storing subregions' purities by encoding them as amplitudes of a fictitious quantum wave function, known as entanglement feature, was proposed.
In this work, we demonstrate that the entanglement feature can be efficiently defining using only a amount of samples in the number of degrees of freedom.
arXiv Detail & Related papers (2025-03-21T15:33:00Z) - Efficient quantum tomography of a polynomial subspace [8.174725971516818]
We develop a partial quantum tomography method based on direct fidelity estimation (DFE)
We investigate the efficiency of this approach under different sets of available measurements for various states.
This method can be applied in many situations, including characterizing quantum systems with confined dynamics.
arXiv Detail & Related papers (2025-03-01T00:09:02Z) - Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation [39.20075231137991]
We investigate the feasibility of early fault-tolerant quantum algorithms focusing on ground-state energy estimation problems.
scaling these methods to larger system sizes reveals three key challenges: the smoothness of the CDF for large supports, the lack of tight lower bounds on the overlap with the true ground state, and the difficulty of preparing high-quality initial states.
arXiv Detail & Related papers (2024-05-06T18:00:03Z) - 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) - Every quantum helps: Operational advantage of quantum resources beyond convexity [1.3124513975412255]
We identify what quantum-mechanical properties are useful to untap a superior performance in quantum technologies.
We provide two operational interpretations of the usefulness of quantum resources without convexity.
arXiv Detail & Related papers (2023-10-13T14:48:58Z) - Quantum State Tomography for Matrix Product Density Operators [28.799576051288888]
Reconstruction of quantum states from experimental measurements is crucial for the verification and benchmarking of quantum devices.
Many physical quantum states, such as states generated by noisy, intermediate-scale quantum computers, are usually structured.
We establish theoretical guarantees for the stable recovery of MPOs using tools from compressive sensing and the theory of empirical processes.
arXiv Detail & Related papers (2023-06-15T18:23:55Z) - Identifying quantum many-body integrability and chaos using eigenstates
trace distances [0.05999777817331316]
We introduce an alternative indicator for quantum many-body integrability and chaos.
It is based on the statistics of eigenstates by means of nearest-neighbor subsystem trace distances.
We show that this provides us with a faithful classification through extensive numerical simulations.
arXiv Detail & Related papers (2023-01-30T19:00:03Z) - The power of noisy quantum states and the advantage of resource dilution [62.997667081978825]
Entanglement distillation allows to convert noisy quantum states into singlets.
We show that entanglement dilution can increase the resilience of shared quantum states to local noise.
arXiv Detail & Related papers (2022-10-25T17:39:29Z) - Efficient Verification of Ground States of Frustration-Free Hamiltonians [28.03059224016627]
We propose a recipe for verifying the ground states of general frustration-free Hamiltonians based on local measurements.
We derive rigorous bounds on the sample complexity by virtue of the quantum detectability lemma and quantum union bound.
Our work is of interest not only to many tasks in quantum information processing, but also to the study of many-body physics.
arXiv Detail & Related papers (2022-06-30T13:50:56Z) - Scalable approach to many-body localization via quantum data [69.3939291118954]
Many-body localization is a notoriously difficult phenomenon from quantum many-body physics.
We propose a flexible neural network based learning approach that circumvents any computationally expensive step.
Our approach can be applied to large-scale quantum experiments to provide new insights into quantum many-body physics.
arXiv Detail & Related papers (2022-02-17T19:00:09Z) - Quantifying Qubit Magic Resource with Gottesman-Kitaev-Preskill Encoding [58.720142291102135]
We define a resource measure for magic, the sought-after property in most fault-tolerant quantum computers.
Our formulation is based on bosonic codes, well-studied tools in continuous-variable quantum computation.
arXiv Detail & Related papers (2021-09-27T12:56:01Z) - Creating and concentrating quantum resource states in noisy environments
using a quantum neural network [2.834895018689047]
We provide a versatile unified state preparation scheme based on a driven quantum network composed of randomly-coupled fermionic nodes.
We show that our method is robust and can be utilized to create almost perfect maximally entangled, NOON, W, cluster, and discorded states.
In very noisy systems, where noise is comparable to the driving strength, we show how to concentrate entanglement by mixing more states in a larger network.
arXiv Detail & Related papers (2021-01-15T07:18:06Z) - Heterogeneous Multipartite Entanglement Purification for
Size-Constrained Quantum Devices [68.8204255655161]
Purifying entanglement resources after their imperfect generation is an indispensable step towards using them in quantum architectures.
Here we depart from the typical purification paradigm for multipartite states explored in the last twenty years.
We find that smaller sacrificial' states, like Bell pairs, can be more useful in the purification of multipartite states than additional copies of these same states.
arXiv Detail & Related papers (2020-11-23T19:00:00Z) - Efficient estimation of multipartite quantum coherence [3.948541278345575]
We propose a systematic theoretical approach to efficiently estimating lower and upper bounds of coherence in multipartite states.
Under the stabilizer formalism, the lower bound is determined by the spectrum estimation method with a small number of measurements.
We experimentally implement various multi-qubit entangled states, including the Greenberger-Horne-Zeilinger state, the cluster state, and the W state, and show how their coherence are efficiently inferred from measuring few observables.
arXiv Detail & Related papers (2020-10-06T10:45:43Z) - Framework for resource quantification in infinite-dimensional general
probabilistic theories [6.308539010172309]
Resource theories provide a general framework for the characterization of properties of physical systems in quantum mechanics and beyond.
We introduce methods for the quantification of resources in general probabilistic theories (GPTs)
We show that a given resource state enables in channel discrimination tasks over all resourceless states.
We demonstrate applications of the robustness to several resources of physical relevance: optical nonclassicality, entanglement, genuine non-Gaussianity, and coherence.
arXiv Detail & Related papers (2020-09-23T18:00:20Z)
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.