428 citations · 559 across the 22 of their papers we have counts for
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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…
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,…
Scalable approach to many-body localization via quantum data
Alexander Gresch, Lennart Bittel, Martin Kliesch
We are interested in how quantum data can allow for practical solutions to otherwise difficult computational problems. A notoriously difficult phenomenon from quantum many-body phy…