Experimental Realization of a Quantum Autoencoder: The Compression of Qutrits via Machine Learning
Alex Pepper, Nora Tischler, and Geoff J. Pryde
Phys. Rev. Lett. 122, 060501 (2019) - Published 11 February, 2019
Classical machine learning is used to experimentally compress quantum information in a photonic system.
Device-Independent Detection of Genuine Multipartite Entanglement for All Pure States
M. Zwerger, W. Dür, J.-D. Bancal, and P. Sekatski
Phys. Rev. Lett. 122, 060502 (2019) - Published 12 February, 2019
Limits on Spectral Resolution Measurements by Quantum Probes
Amit Rotem, Tuvia Gefen, Santiago Oviedo-Casado, Javier Prior, Simon Schmitt, Yoram Burak, Liam McGuiness, Fedor Jelezko, and Alex Retzker
Phys. Rev. Lett. 122, 060503 (2019) - Published 13 February, 2019
Quantum Algorithms for Systems of Linear Equations Inspired by Adiabatic Quantum Computing
Yiğit Subaşı, Rolando D. Somma, and Davide Orsucci
Phys. Rev. Lett. 122, 060504 (2019) - Published 14 February, 2019
Quantifying Memory Capacity as a Quantum Thermodynamic Resource
Varun Narasimhachar, Jayne Thompson, Jiajun Ma, Gilad Gour, and Mile Gu
Phys. Rev. Lett. 122, 060601 (2019) - Published 13 February, 2019
Accelerating Molecular Dynamics Simulations with Population Annealing
Henrik Christiansen, Martin Weigel, and Wolfhard Janke
Phys. Rev. Lett. 122, 060602 (2019) - Published 14 February, 2019











