The Experts below are selected from a list of 123 Experts worldwide ranked by ideXlab platform

C M Wilson - One of the best experts on this subject based on the ideXlab platform.

  • quantum enhanced noise radar
    Applied Physics Letters, 2019
    Co-Authors: C Sandbo W Chang, A M Vadiraj, Jerome Bourassa, Bhashyam Balaji, C M Wilson
    Abstract:

    We propose a protocol for quantum illumination: a quantum-enhanced noise radar. A two-mode squeezed state, which exhibits continuous-variable entanglement between so-called signal and idler beams, is used as input to the radar system. Compared to existing proposals for quantum illumination, our protocol does not require joint measurement of the signal and idler beams. This greatly enhances the practicality of the system by, for instance, eliminating the need for a quantum memory to store the idler. We perform a proof-of-principle experiment in the microwave regime, directly comparing the performance of a two-mode squeezed Source to an ideal Classical noise Source that saturates the Classical bound for correlation. We find that, even in the presence of significant added noise and loss, the quantum Source outperforms the Classical Source by as much as an order of magnitude.We propose a protocol for quantum illumination: a quantum-enhanced noise radar. A two-mode squeezed state, which exhibits continuous-variable entanglement between so-called signal and idler beams, is used as input to the radar system. Compared to existing proposals for quantum illumination, our protocol does not require joint measurement of the signal and idler beams. This greatly enhances the practicality of the system by, for instance, eliminating the need for a quantum memory to store the idler. We perform a proof-of-principle experiment in the microwave regime, directly comparing the performance of a two-mode squeezed Source to an ideal Classical noise Source that saturates the Classical bound for correlation. We find that, even in the presence of significant added noise and loss, the quantum Source outperforms the Classical Source by as much as an order of magnitude.

  • quantum enhanced noise radar
    arXiv: Quantum Physics, 2018
    Co-Authors: C Sandbo W Chang, A M Vadiraj, Jerome Bourassa, Bhashyam Balaji, C M Wilson
    Abstract:

    We propose a novel protocol for quantum illumination: a quantum-enhanced noise radar. A two-mode squeezed state, which exhibits continuous-variable entanglement between so-called signal and idler beams, is used as input to the radar system. Compared to existing proposals for quantum illumination, our protocol does not require joint measurement of the signal and idler beams. This greatly enhances the practicality of the system by, for instance, eliminating the need for a quantum memory to store the idler. We perform a proof-of-principle experiment in the microwave regime, directly comparing the performance of a two-mode squeezed Source to an ideal Classical noise Source that saturates the Classical bound for correlation. We find that, even in the presence of significant added noise and loss, the quantum Source outperforms the Classical Source by as much as an order of magnitude.

Vincent H Poor - One of the best experts on this subject based on the ideXlab platform.

  • the likelihood encoder for lossy compression
    IEEE Transactions on Information Theory, 2016
    Co-Authors: Eva C Song, Paul Cuff, Vincent H Poor
    Abstract:

    A likelihood encoder is studied in the context of lossy Source compression. The analysis of the likelihood encoder is based on the soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma yields simple achievability proofs for Classical Source coding problems. The cases of the point-to-point rate-distortion function, the rate-distortion function with side information at the decoder (i.e., the Wyner–Ziv problem), and the multi-terminal Source coding inner bound (i.e., the Berger–Tung problem) are examined in this paper. Furthermore, a non-asymptotic analysis is used for the point-to-point case to examine the upper bound on the excess distortion provided by this method. The likelihood encoder is also related to a recent alternative technique using the properties of random binning.

  • the likelihood encoder for lossy Source compression
    arXiv: Information Theory, 2014
    Co-Authors: Eva C Song, Paul Cuff, Vincent H Poor
    Abstract:

    In this work, a likelihood encoder is studied in the context of lossy Source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma gives alternative achievability proofs for Classical Source coding problems. The case of the rate-distortion function with side information at the decoder (i.e. the Wyner-Ziv problem) is carefully examined and an application of the likelihood encoder to the multi-terminal Source coding inner bound (i.e. the Berger-Tung region) is outlined.

C Sandbo W Chang - One of the best experts on this subject based on the ideXlab platform.

  • quantum enhanced noise radar
    Applied Physics Letters, 2019
    Co-Authors: C Sandbo W Chang, A M Vadiraj, Jerome Bourassa, Bhashyam Balaji, C M Wilson
    Abstract:

    We propose a protocol for quantum illumination: a quantum-enhanced noise radar. A two-mode squeezed state, which exhibits continuous-variable entanglement between so-called signal and idler beams, is used as input to the radar system. Compared to existing proposals for quantum illumination, our protocol does not require joint measurement of the signal and idler beams. This greatly enhances the practicality of the system by, for instance, eliminating the need for a quantum memory to store the idler. We perform a proof-of-principle experiment in the microwave regime, directly comparing the performance of a two-mode squeezed Source to an ideal Classical noise Source that saturates the Classical bound for correlation. We find that, even in the presence of significant added noise and loss, the quantum Source outperforms the Classical Source by as much as an order of magnitude.We propose a protocol for quantum illumination: a quantum-enhanced noise radar. A two-mode squeezed state, which exhibits continuous-variable entanglement between so-called signal and idler beams, is used as input to the radar system. Compared to existing proposals for quantum illumination, our protocol does not require joint measurement of the signal and idler beams. This greatly enhances the practicality of the system by, for instance, eliminating the need for a quantum memory to store the idler. We perform a proof-of-principle experiment in the microwave regime, directly comparing the performance of a two-mode squeezed Source to an ideal Classical noise Source that saturates the Classical bound for correlation. We find that, even in the presence of significant added noise and loss, the quantum Source outperforms the Classical Source by as much as an order of magnitude.

  • quantum enhanced noise radar
    arXiv: Quantum Physics, 2018
    Co-Authors: C Sandbo W Chang, A M Vadiraj, Jerome Bourassa, Bhashyam Balaji, C M Wilson
    Abstract:

    We propose a novel protocol for quantum illumination: a quantum-enhanced noise radar. A two-mode squeezed state, which exhibits continuous-variable entanglement between so-called signal and idler beams, is used as input to the radar system. Compared to existing proposals for quantum illumination, our protocol does not require joint measurement of the signal and idler beams. This greatly enhances the practicality of the system by, for instance, eliminating the need for a quantum memory to store the idler. We perform a proof-of-principle experiment in the microwave regime, directly comparing the performance of a two-mode squeezed Source to an ideal Classical noise Source that saturates the Classical bound for correlation. We find that, even in the presence of significant added noise and loss, the quantum Source outperforms the Classical Source by as much as an order of magnitude.

Ioannis Kontoyiannis - One of the best experts on this subject based on the ideXlab platform.

  • pointwise redundancy in lossy data compression and universal lossy data compression
    IEEE Transactions on Information Theory, 2000
    Co-Authors: Ioannis Kontoyiannis
    Abstract:

    We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed distortion level. "Pointwise redundancy" refers to the difference between the description length achieved by an nth-order block code and the optimal nR(D) bits. For memoryless Sources, we show that the best achievable redundancy rate is of order O(/spl radic/n) in probability. This follows from a second-order refinement to the Classical Source coding theorem, in the form of a "one-sided central limit theorem". Moreover, we show that, along (almost) any Source realization, the description lengths of any sequence of block codes operating at distortion level D exceed nR(D) by at least as much as C/spl radic/(nloglogn), infinitely often. Corresponding direct coding theorems are also given, showing that these rates are essentially achievable. The above rates are in sharp contrast with the expected redundancy rates of order O(log n) reported by various authors. Our approach is based on showing that the compression performance of an arbitrary sequence of codes is essentially bounded below by the performance of Shannon's random code. We obtain partial generalizations of the above results for arbitrary Sources with memory, and we prove lossy analogs of "Barron's Lemma" (Barron 1985).

Eva C Song - One of the best experts on this subject based on the ideXlab platform.

  • the likelihood encoder for lossy compression
    IEEE Transactions on Information Theory, 2016
    Co-Authors: Eva C Song, Paul Cuff, Vincent H Poor
    Abstract:

    A likelihood encoder is studied in the context of lossy Source compression. The analysis of the likelihood encoder is based on the soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma yields simple achievability proofs for Classical Source coding problems. The cases of the point-to-point rate-distortion function, the rate-distortion function with side information at the decoder (i.e., the Wyner–Ziv problem), and the multi-terminal Source coding inner bound (i.e., the Berger–Tung problem) are examined in this paper. Furthermore, a non-asymptotic analysis is used for the point-to-point case to examine the upper bound on the excess distortion provided by this method. The likelihood encoder is also related to a recent alternative technique using the properties of random binning.

  • the likelihood encoder for lossy Source compression
    arXiv: Information Theory, 2014
    Co-Authors: Eva C Song, Paul Cuff, Vincent H Poor
    Abstract:

    In this work, a likelihood encoder is studied in the context of lossy Source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma gives alternative achievability proofs for Classical Source coding problems. The case of the rate-distortion function with side information at the decoder (i.e. the Wyner-Ziv problem) is carefully examined and an application of the likelihood encoder to the multi-terminal Source coding inner bound (i.e. the Berger-Tung region) is outlined.