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Deep learning based physical layer design, i.e., using dense neural networks as encoders and decoders, has received considerable interest recently. However, while such an approach is naturally training data-driven, actions of the wireless…

Information Theory · Computer Science 2020-06-30 Rick Fritschek , Rafael F. Schaefer , Gerhard Wunder

Several concrete examples in quantum information are discussed to demonstrate the importance of proper modeling that relates the mathematical description to real-world applications. In particular, it is shown that some commonly accepted…

Quantum Physics · Physics 2007-05-23 Horace P. Yuen

Belief updating in Bayes nets, a well known computationally hard problem, has recently been approximated by several deterministic algorithms, and by various randomized approximation algorithms. Deterministic algorithms usually provide…

Artificial Intelligence · Computer Science 2013-02-18 Eugene Santos , Solomon Eyal Shimony , Edward Williams

We present a scheme for simulating the quantum network of quantum estimation proposed by A. K. Ekert et al. [Phys. Rev. Lett. 88, 217901 (2002)]. We experimentally implement the scheme with linear optical elements. We perform overlap…

Quantum Physics · Physics 2007-05-23 Zhi-Wei Wang , Jian Li , Yun-Feng Huang , Yong-Sheng Zhang , Xi-Feng Ren , Pei Zhang , Guang-Can Guo

In sections 1 and 2 we review Event Enhanced Quantum Theory (EEQT). In section 3 we discuss applications of EEQT to tunneling time, and compare its quantitative predictions with other approaches, in particular with B\"uttiker-Larmor and…

Quantum Physics · Physics 2015-06-26 Ph. Blanchard , A. Jadczyk , A. Ruschhaupt

In the recent noisy intermediate-scale quantum era, the research on the combination of artificial intelligence and quantum computing has been greatly developed. Inspired by neural networks, developing quantum neural networks with specific…

Quantum Physics · Physics 2024-01-30 Jingwei Wen , Zhiguo Huang , Dunbo Cai , Ling Qian

This is a PhD dissertation on the latest numerical quantum estimation schemes as of 2012, submitted to the National University of Singapore. The main content of the thesis focuses on accessing quantum information with informationally…

Quantum Physics · Physics 2013-02-15 Yong Siah Teo

Rejoinder: 2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization [arXiv:0708.0083]

Statistics Theory · Mathematics 2009-09-29 Vladimir Koltchinskii

This is an addendum to the Reply Comment [Phys. Rev. Lett. 102, 139602 (2009), arXiv:0811.0518] to Comment [Phys. Rev. Lett. 102, 139601 (2009), arXiv:0810.4791] on Letter [Phys. Rev. Lett. 100, 116101 (2008), arXiv:0804.1898].

Statistical Mechanics · Physics 2009-07-09 Carlos Escudero

Internet-scale quantum repeater networks will be heterogeneous in physical technology, repeater functionality, and management. The classical control necessary to use the network will therefore face similar issues as Internet data…

Quantum Physics · Physics 2023-04-21 Rodney Van Meter , Joe Touch , Dominic Horsman

Learning the differential statistical dependency network between two contexts is essential for many real-life applications, mostly in the high dimensional low sample regime. In this paper, we propose a novel differential network estimator…

Machine Learning · Computer Science 2022-04-25 Arshdeep Sekhon , Zhe Wang , Yanjun Qi

Discussion of ``EQUI-energy sampler'' by Kou, Zhou and Wong [math.ST/0507080]

Statistics Theory · Mathematics 2007-06-13 Ying Nian Wu , Song-Chun Zhu

Discussion of ``EQUI-energy sampler'' by Kou, Zhou and Wong [math.ST/0507080]

Statistics Theory · Mathematics 2007-06-13 Ming-Hui Chen , Sungduk Kim

Recurrent Neural Networks (RNNs) have achieved remarkable performance on a range of tasks. A key step to further empowering RNN-based approaches is improving their explainability and interpretability. In this work we present MEME: a model…

Machine Learning · Computer Science 2021-04-15 Dmitry Kazhdan , Botty Dimanov , Mateja Jamnik , Pietro Liò

We describe a method of investigating the near-term potential of quantum communication technology for communication networks from the perspective of current networks. For this, we integrate an instance of the quantum network simulator…

The Annals of Applied Probability 16 (2006) 984--1033 [URL: http://projecteuclid.org/euclid.aoap/1151592257]

Probability · Mathematics 2008-12-18 Yan Dolinsky , Yuri Kifer

Intrusion Detection Systems (IDSs) must maintain high detection sensitivity while operating under strict false-positive constraints, a challenge intensified by class imbalance and heterogeneous IoT traffic. This work investigates whether…

Quantum Physics · Physics 2026-05-29 Ritvik Bhatnagar , Nouhaila Innan , Angel Arul Jothi J. , Muhammad Shafique

The experimental detection of quantum entanglement is of great importance in quantum information processing. We present two separability criteria based on the generalized realignment moments. By incorporating additional parameters, these…

Quantum Physics · Physics 2026-02-25 Xiaofen Huang , Xishun Zhu , Bin Chen , Naihuan Jing , Shao-Ming Fei

This is a technical report, containing all the theorem proofs in the following two papers: (1) Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, and Don Towsley, "Identifiability of Link Metrics Based on End-to-end Path Measurements," in…

Networking and Internet Architecture · Computer Science 2020-12-24 Liang Ma , Ting He , Kin K. Leung , Ananthram Swami , Don Towsley

The author calls attention to previous work with related results, which has escaped scrutiny before the publication of the article "Nonlinear quantum evolution with maximal entropy production", Phys.Rev.A63, 022105 (2001).

Quantum Physics · Physics 2009-11-07 S. Gheorghiu-Svirschevski