Discriminating bipartite mixed states by local operations
- URL: http://arxiv.org/abs/2003.06109v1
- Date: Fri, 13 Mar 2020 04:50:36 GMT
- Title: Discriminating bipartite mixed states by local operations
- Authors: Jin-Hua Zhang and Fu-Lin Zhang and Zhi-Xi Wang and Le-Min Lai and
Shao-Ming Fei
- Abstract summary: We show that the success probability of a global scheme for mixed-state discrimination can be achieved perfectly by the local scheme.
This simulation is perfect for local rather than global schemes due to the existence of entanglement and global coherence in the pure states.
- Score: 0.4724825031148411
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Unambiguous state discrimination of two mixed bipartite states via local
operations and classical communications (LOCC) is studied and compared with the
result of a scheme realized via global measurement. We show that the success
probability of a global scheme for mixed-state discrimination can be achieved
perfectly by the local scheme. In addition, we simulate this discrimination via
a pair of pure entangled bipartite states. This simulation is perfect for local
rather than global schemes due to the existence of entanglement and global
coherence in the pure states. We also prove that LOCC protocol and the
sequential state discrimination (SSD) can be interpreted in a unified view. We
then hybridize the LOCC protocol with three protocols (SSD, reproducing and
broadcasting) relying on classical communications. Such hybridizations extend
the gaps between the optimal success probability of global and local schemes,
which can be eliminated only for the SSD rather than the other two protocols.
Related papers
- Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD
for Communication Efficient Nonconvex Distributed Learning [58.79085525115987]
Local methods are one of the promising approaches to reduce communication time.
We show that the communication complexity is better than non-local methods when the local datasets is smaller than the smoothness local loss.
arXiv Detail & Related papers (2022-02-12T15:12:17Z) - Boosting Discriminative Visual Representation Learning with
Scenario-Agnostic Mixup [54.09898347820941]
We propose textbfScenario-textbfAgnostic textbfMixup (SAMix) for both Self-supervised Learning (SSL) and supervised learning (SL) scenarios.
Specifically, we hypothesize and verify the objective function of mixup generation as optimizing local smoothness between two mixed classes.
A label-free generation sub-network is designed, which effectively provides non-trivial mixup samples and improves transferable abilities.
arXiv Detail & Related papers (2021-11-30T14:49:59Z) - Local simultaneous state discrimination [17.243339961137647]
Quantum state discrimination is one of the most fundamental problems studied in quantum information theory.
In this work, we introduce a new variant of this task: Local Simultaneous State Discrimination.
While interesting in its own right, this problem also arises in quantum cryptography.
arXiv Detail & Related papers (2021-11-01T19:03:37Z) - Multi-Agent MDP Homomorphic Networks [100.74260120972863]
In cooperative multi-agent systems, complex symmetries arise between different configurations of the agents and their local observations.
Existing work on symmetries in single agent reinforcement learning can only be generalized to the fully centralized setting.
This paper introduces Multi-Agent MDP Homomorphic Networks, a class of networks that allows distributed execution using only local information.
arXiv Detail & Related papers (2021-10-09T07:46:25Z) - Reinforcement learning-enhanced protocols for coherent
population-transfer in three-level quantum systems [50.591267188664666]
We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer.
Our approach is able to explore the space of possible control protocols to reveal the existence of efficient protocols.
The new protocols that we identify are robust against both energy losses and dephasing.
arXiv Detail & Related papers (2021-09-02T14:17:30Z) - Genuine activation of nonlocality: From locally available to locally
hidden information [13.939388417767136]
Quantum nonlocality has different manifestations that, in general, are revealed by local measurements of parts of a composite system.
We show that there exist sets that are locally distinguishable but without local redundancy.
We suggest an application, namely, local hiding of information, that allows us to locally hide locally available information without losing any part.
arXiv Detail & Related papers (2021-04-24T12:02:48Z) - Multi-copy adaptive local discrimination: Strongest possible two-qubit
nonlocal bases [0.0]
In this letter, we provide examples of orthonormal bases in two-qubit Hilbert space whose adaptive discrimination require 3 copies of the state.
We also come up with ensembles whose discrimination under adaptive separable scheme require less number of copies than adaptive local schemes.
Our construction finds important application in multipartite secret sharing tasks and indicates towards an intriguing super-additivity phenomenon for locally accessible information.
arXiv Detail & Related papers (2020-11-18T13:49:51Z) - Unambiguous discrimination of Fermionic states through local operations
and classical communication [68.8204255655161]
The paper studies unambiguous discrimination of Fermionic states through local operations and classical communication (LOCC)
We show that it is not always possible to distinguish two Fermionic states through LOCC unambiguously with the same success probability as if global measurements were allowed.
arXiv Detail & Related papers (2020-09-11T21:08:52Z) - Fermionic state discrimination by local operations and classical
communication [68.8204255655161]
Local operations and classical communication (LOCC) discrimination between two bipartite pure states of fermionic systems is studied.
We show that, contrary to the case of quantum systems, for fermionic systems it is generally not possible to achieve the ideal state discrimination performances.
arXiv Detail & Related papers (2020-02-24T12:25:36Z)
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.