Researchers are developing algorithms and machine learning methods to further our understanding of the quantum state space.
Strong light-matter coupling is a new tool to mold chemical reactivity and material properties that intertwine material science and quantum mechanics.
Predicting the experimental conditions that enhance coherence times for semiconducting quantum dot hybrid qubits.
A novel scheme for an ultrafast generation of a toroidal moment and a field-free vector potential is uncovered.
A quantum autoencoder via approximate quantum adders in the Rigetti cloud quantum computer is carried out employing up to three qubits.
A train of single-electrons propagating on top of the Fermi sea of a mesoscopic conductor can be used for time-domain spectroscopy of quantum-coherent structures.
A theoretical study of electronic transport in a hybrid junction consisting of an excitonic insulator sandwiched between a normal and a superconducting electrode.
A useful guide for beginners in the field and a helpful reference for CV-QKD experimentalists who want to deepen their theoretical understanding of their setup.
Ultrafast generation of a field‐free vector potential that is tunable in duration, sign, and magnitude, allowing to impart non‐invasive, spatiotemporally controlled changes to the quantum nature of nanosystems.
A combined quantum key distribution and compressing sensing protocol that improves information transmission bandwidth paves the way to real-time information evaluation and communication security.