27 research outputs found

    Quantum information with continuous variables

    Full text link
    Quantum information is a rapidly advancing area of interdisciplinary research. It may lead to real-world applications for communication and computation unavailable without the exploitation of quantum properties such as nonorthogonality or entanglement. We review the progress in quantum information based on continuous quantum variables, with emphasis on quantum optical implementations in terms of the quadrature amplitudes of the electromagnetic field.Comment: accepted for publication in Reviews of Modern Physic

    Tensor Networks and Quantum Error Correction

    Full text link
    We establish several relations between quantum error correction (QEC) and tensor network (TN) methods of quantum many-body physics. We exhibit correspondences between well-known families of QEC codes and TNs, and demonstrate a formal equivalence between decoding a QEC code and contracting a TN. We build on this equivalence to propose a new family of quantum codes and decoding algorithms that generalize and improve upon quantum polar codes and successive cancellation decoding in a natural way.Comment: Accepted in Phys. Rev. Lett. 8 pages, 9 figure

    An improved rate region for the classical-quantum broadcast channel

    Full text link
    We present a new achievable rate region for the two-user binary-input classical-quantum broadcast channel. The result is a generalization of the classical Marton-Gelfand-Pinsker region and is provably larger than the best previously known rate region for classical-quantum broadcast channels. The proof of achievability is based on the recently introduced polar coding scheme and its generalization to quantum network information theory.Comment: 5 pages, double column, 1 figure, based on a result presented in the Master's thesis arXiv:1501.0373

    Optical Interferometry with Quantum Networks

    Get PDF
    We propose a method for optical interferometry in telescope arrays assisted by quantum networks. In our approach, the quantum state of incoming photons along with an arrival time index is stored in a binary qubit code at each receiver. Nonlocal retrieval of the quantum state via entanglement-assisted parity checks at the expected photon arrival rate allows for direct extraction of the phase difference, effectively circumventing transmission losses between nodes. Compared to prior proposals, our scheme (based on efficient quantum data compression) offers an exponential decrease in required entanglement bandwidth. Experimental implementation is then feasible with near-term technology, enabling optical imaging of astronomical objects akin to well-established radio interferometers and pushing resolution beyond what is practically achievable classically.Comment: 7 + 6 pages, 3 + 1 figures; v2 - clarifications and further discussion of implementation; v3 - close to published versio

    Magic state distillation with punctured polar codes

    Get PDF
    We present a scheme for magic state distillation using punctured polar codes. Our results build on some recent work by Bardet et al. (ISIT, 2016) who discovered that polar codes can be described algebraically as decreasing monomial codes. Using this powerful framework, we construct tri-orthogonal quantum codes (Bravyi et al., PRA, 2012) that can be used to distill magic states for the TT gate. An advantage of these codes is that they permit the use of the successive cancellation decoder whose time complexity scales as O(Nlog(N))O(N\log(N)). We supplement this with numerical simulations for the erasure channel and dephasing channel. We obtain estimates for the dimensions and error rates for the resulting codes for block sizes up to 2202^{20} for the erasure channel and 2162^{16} for the dephasing channel. The dimension of the triply-even codes we obtain is shown to scale like O(N0.8)O(N^{0.8}) for the binary erasure channel at noise rate 0.010.01 and O(N0.84)O(N^{0.84}) for the dephasing channel at noise rate 0.0010.001. The corresponding bit error rates drop to roughly 8×10288\times10^{-28} for the erasure channel and 7×10157 \times 10^{-15} for the dephasing channel respectively.Comment: 18 pages, 4 figure
    corecore