79 citations · 303 across the 11 of their papers we have counts for
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quant-ph2023★ 6 cited
Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries
Vladimir Kremenetski, Anuj Apte, Tad Hogg +2
The Quantum Approximate Optimization Algorithm and its generalization to Quantum Alternating Operator Ansatz (QAOA) is a promising approach for applying quantum computers to challe…
quant-ph2023★ 6 cited
A Quadratic Speedup in the Optimization of Noisy Quantum Optical Circuits
Robbe De Prins, Yuan Yao, Anuj Apte +1
Linear optical quantum circuits with photon number resolving (PNR) detectors are used for both Gaussian Boson Sampling (GBS) and for the preparation of non-Gaussian states such as…
quant-ph2022★ 14 cited
Embedding Learning in Hybrid Quantum-Classical Neural Networks
Minzhao Liu, Junyu Liu, Rui Liu +4
Quantum embedding learning is an important step in the application of quantum machine learning to classical data. In this paper we propose a quantum few-shot embedding learning par…