2 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
Unsupervised Machine Learning for Experimental Detection of Quantum-Many-Body Phase Transitions
Ron Ziv, David Wei, Antonio Rubio-Abadal +7
Quantum many-body (QMB) systems are generally computationally hard: the computing resources necessary to simulate them exactly can often exceed the existing computation resources b…
Supercoherence: Harnessing Long-Range Interactions to Preserve Collective Coherence in Disordered Systems
Alexey Gorlach, Andrea Pizzi, Klaus Mølmer +3
Artificial quantum systems with synthetic dimensions enable exploring novel quantum phenomena difficult to create in conventional materials. These synthetic degrees of freedom incr…
Tracking the Evolution of Near-Field Photonic Qubits into High-Dimensional Qudits via State Tomography
Amit Kam, Shai Tsesses, Lior Fridman +10
Quantum nanophotonics offers essential tools and technologies for controlling quantum states, while maintaining a miniature form factor and high scalability. For example, nanophoto…