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quant-ph2022
Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate
Lennart Bittel, Sevag Gharibian, Martin Kliesch
Variational Quantum Algorithms (VQAs), such as the Quantum Approximate Optimization Algorithm (QAOA) of [Farhi, Goldstone, Gutmann, 2014], have seen intense study towards near-term…
quant-ph2022★ 2 cited
Fast gradient estimation for variational quantum algorithms
Lennart Bittel, Jens Watty, Martin Kliesch
Many optimization methods for training variational quantum algorithms are based on estimating gradients of the cost function. Due to the statistical nature of quantum measurements,…