50 citations · 253 across the 20 of their papers we have counts for
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Sampling on NISQ Devices: "Who's the Fairest One of All?"
Elijah Pelofske, John Golden, Andreas Bärtschi +2
Modern NISQ devices are subject to a variety of biases and sources of noise that degrade the solution quality of computations carried out on these devices. A natural question that…
Threshold-Based Quantum Optimization
John Golden, Andreas Bärtschi, Daniel O'Malley +1
We propose and study Th-QAOA (pronounced Threshold QAOA), a variation of the Quantum Alternating Operator Ansatz (QAOA) that replaces the standard phase separator operator, which e…
Fair Sampling Error Analysis on NISQ Devices
John Golden, Andreas Bärtschi, Daniel O'Malley +1
We study the status of fair sampling on Noisy Intermediate Scale Quantum (NISQ) devices, in particular the IBM Q family of backends. Using the recently introduced Grover Mixer-QAOA…