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Found 3 papers, 1 papers with code
On Circuit Depth Scaling For Quantum Approximate Optimization
Focusing on random instances of MAX-2-SAT, we test our predictive model against simulated data with up to 15 qubits.
Training Saturation in Layerwise Quantum Approximate Optimisation
Doing so we discovered that such training always saturates -- called \textit{training saturation} -- at some depth $p^*$, meaning that past a certain depth, overlap can not be improved by adding subsequent layers.
Status of the Chronopixel Project
Other the past few years we have developed a monolithic CMOS pixel detector design for the ILC in collaboration with the SARNOFF Corporation.
Instrumentation and Detectors High Energy Physics - Experiment
