Quantum 6, 813 (2022). https://doi.org/10.22331/q-2022-09-21-813 We improve the planar honeycomb code by describing boundaries that need no additional physical connectivity, and by optimizing the shape of the qubit patch. We then benchmark the code using […]
Quantum 6, 812 (2022). https://doi.org/10.22331/q-2022-09-20-812 Optomechanical systems are rapidly becoming one of the most promising platforms for observing quantum behaviour, especially at the macroscopic level. Moreover, thanks to their state-of-the-art methods of fabrication, they may […]
Quantum 6, 811 (2022). https://doi.org/10.22331/q-2022-09-20-811 Recent work shows that quantum signal processing (QSP) and its multi-qubit lifted version, quantum singular value transformation (QSVT), unify and improve the presentation of most quantum algorithms. QSP/QSVT characterize the […]
Quantum 6, 810 (2022). https://doi.org/10.22331/q-2022-09-20-810 Maxwell’s Demon is at the heart of the interrelation between quantum information processing and thermodynamics. In this thought experiment, a demon generates a temperature gradient between two thermal baths initially […]
Quantum 6, 809 (2022). https://doi.org/10.22331/q-2022-09-19-809 The performance of quantum error correction can be significantly improved if detailed information about the noise is available, allowing to optimize both codes and decoders. It has been proposed to […]
Quantum 6, 808 (2022). https://doi.org/10.22331/q-2022-09-19-808 In this work, we study temperature sensing with finite-sized strongly correlated systems exhibiting quantum phase transitions. We use the quantum Fisher information (QFI) approach to quantify the sensitivity in the […]
Quantum 6, 807 (2022). https://doi.org/10.22331/q-2022-09-19-807 A proof of quantumness is a type of challenge-response protocol in which a classical verifier can efficiently certify the $textit{quantum advantage}$ of an untrusted prover. That is, a quantum prover […]
Quantum 6, 806 (2022). https://doi.org/10.22331/q-2022-09-19-806 Quantum simulation, the simulation of quantum processes on quantum computers, suggests a path forward for the efficient simulation of problems in condensed-matter physics, quantum chemistry, and materials science. While the […]
Quantum 6, 805 (2022). https://doi.org/10.22331/q-2022-09-15-805 We analyze the topological and dynamical properties of a system formed by two chains of identical emitters coupled to a waveguide, whose guided modes induce all-to-all excitation hopping. We find […]
Quantum 6, 804 (2022). https://doi.org/10.22331/q-2022-09-15-804 Very little is known about the cost landscape for parametrized Quantum Circuits (PQCs). Nevertheless, PQCs are employed in Quantum Neural Networks and Variational Quantum Algorithms, which may allow for near-term […]
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