8 citations · 14 across the 7 of their papers we have counts for
7 papers · 1 filter
Efficient estimation of Pauli observables by derandomization
Hsin-Yuan Huang, Richard Kueng, John Preskill
We consider the problem of jointly estimating expectation values of many Pauli observables, a crucial subroutine in variational quantum algorithms. Starting with randomized measure…
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang, Richard Kueng, John Preskill
We study the performance of classical and quantum machine learning (ML) models in predicting outcomes of physical experiments. The experiments depend on an input parameter and…
Stochastic Quantum Circuit Simulation Using Decision Diagrams
Thomas Grurl, Richard Kueng, Jürgen Fuß +1
Recent years have seen unprecedented advance in the design and control of quantum computers. Nonetheless, their applicability is still restricted and access remains expensive. Ther…
Mixed-state entanglement from local randomized measurements
Andreas Elben, Richard Kueng, Hsin-Yuan Huang +8
We propose a method for detecting bipartite entanglement in a many-body mixed state based on estimating moments of the partially transposed density matrix. The estimates are obtain…
Predicting Many Properties of a Quantum System from Very Few Measurements
Hsin-Yuan Huang, Richard Kueng, John Preskill
Predicting properties of complex, large-scale quantum systems is essential for developing quantum technologies. We present an efficient method for constructing an approximate class…
Predicting Features of Quantum Systems from Very Few Measurements
Hsin-Yuan Huang, Richard Kueng
Predicting features of complex, large-scale quantum systems is essential to the characterization and engineering of quantum architectures. We present an efficient approach for cons…