1 citations · 2 across the 2 of their papers we have counts for
4 papers
Generative quantum advantage for classical and quantum problems
Hsin-Yuan Huang, Michael Broughton, Norhan Eassa +3
Recent breakthroughs in generative machine learning, powered by massive computational resources, have demonstrated unprecedented human-like capabilities. While beyond-classical qua…
Machine learning the effects of many quantum measurements
Wanda Hou, Samuel J. Garratt, Norhan M. Eassa +4
Measurements are essential for the processing and protection of information in quantum computers. They can also induce long-range entanglement between unmeasured qubits. However, w…
Probing non-equilibrium topological order on a quantum processor
M. Will, T. A. Cochran, E. Rosenberg +6
Out-of-equilibrium phases in many-body systems constitute a new paradigm in quantum matter - they exhibit dynamical properties that may otherwise be forbidden by equilibrium thermo…
Transmon qutrit-based simulation of spin-1 AKLT systems
Keerthi Kumaran, Faisal Alam, Norhan Eassa +5
Qutrit-based quantum circuits could help reduce the overall circuit depths, and hence the effect of noise, when the system of interest has a local dimension of three. Accessing sec…