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quant-ph2022★ 1 cited
A Depth-Progressive Initialization Strategy for Quantum Approximate Optimization Algorithm
Xinwei Lee, Ningyi Xie, Yoshiyuki Saito +2
The quantum approximate optimization algorithm (QAOA) is known for its capability and universality in solving combinatorial optimization problems on near-term quantum devices. The…
cs.CC2022★ 1 cited
Hardness of Maximum Likelihood Learning of DPPs
Elena Grigorescu, Brendan Juba, Karl Wimmer +1
Determinantal Point Processes (DPPs) are a widely used probabilistic model for negatively correlated sets. DPPs have been successfully employed in Machine Learning applications to…