Measuring acceleration using the Purcell effect

Benjamin Dive, Alexander Pitchford, Florian Mintert, and Daniel Burgarth,

Quantum 2, 80 (2018). https://doi.org/10.22331/q-2018-08-08-80

Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as useful devices and are seen as a stepping stone to universal quantum computers. A key diff…

Adam Winick, Norbert Lütkenhaus, and Patrick J. Coles,

Quantum 2, 77 (2018). https://doi.org/10.22331/q-2018-07-26-77

In this work, we present a reliable, efficient, and tight numerical method for calculating key rates for finite-dimensional quantum key distribution (QKD) protocols. We illustrate our approa…

Felix A. Pollock and Kavan Modi,

Quantum 2, 76 (2018). https://doi.org/10.22331/q-2018-07-11-76

Memory effects in open quantum dynamics are often incorporated in the equation of motion through a superoperator known as the memory kernel, which encodes how past states affect future dynam…

Filippo M. Miatto, Michael Epping, and Norbert Lütkenhaus,

Quantum 2, 75 (2018). https://doi.org/10.22331/q-2018-07-05-75

Quantum information degrades over distance due to the unavoidable imperfections of the transmission channels, with loss as the leading factor. This simple fact hinders quantum communication,…

Armin Tavakoli, Géraldine Haack, Marcus Huber, Nicolas Brunner, and Jonatan Bohr Brask,

Quantum 2, 73 (2018). https://doi.org/10.22331/q-2018-06-13-73

We present a scheme for dissipatively generating maximal entanglement in a heralded manner. Our setup requires incoherent interactions with two thermal baths at different temperatures, but n…

Sophie Laplante, Mathieu Laurière, Alexandre Nolin, Jérémie Roland, and Gabriel Senno,

Quantum 2, 72 (2018). https://doi.org/10.22331/q-2018-06-07-72

The question of how large Bell inequality violations can be, for quantum distributions, has been the object of much work in the past several years. We say that a Bell inequality is normalize…

Kevin A. Fischer, Rahul Trivedi, Vinay Ramasesh, Irfan Siddiqi, and Jelena Vučković,

Quantum 2, 69 (2018). https://doi.org/10.22331/q-2018-05-28-69

We develop a new computational tool and framework for characterizing the scattering of photons by energy-nonconserving Hamiltonians into unidirectional (chiral) waveguides, for example, with…

Nikolas P. Breuckmann and Xiaotong Ni,

Quantum 2, 68 (2018). https://doi.org/10.22331/q-2018-05-24-68

Machine learning has the potential to become an important tool in quantum error correction as it allows the decoder to adapt to the error distribution of a quantum chip. An additional motiva…

Cédric Bény,

Quantum 2, 67 (2018). https://doi.org/10.22331/q-2018-05-24-67

Information-theoretical quantities such as statistical distinguishability typically result from optimisations over all conceivable observables. Physical theories, however, are not generally…

Mohammad Mehboudi, Anna Sanpera, and Juan M. R. Parrondo,

Quantum 2, 66 (2018). https://doi.org/10.22331/q-2018-05-24-66

The fluctuation-dissipation theorem (FDT) is a central result in statistical physics, both for classical and quantum systems. It establishes a relationship between the linear response of a s…

Dominik Hangleiter, Juan Bermejo-Vega, Martin Schwarz, and Jens Eisert,

Quantum 2, 65 (2018). https://doi.org/10.22331/q-2018-05-22-65

One of the main milestones in quantum information science is to realise quantum devices that exhibit an exponential computational advantage over classical ones without being universal quantu…