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20182026
most citedEfficient Learning for Deep Quantum Neural Networks

712 citations · 771 across the 19 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

quant-ph2024

Quantitative Quantum Zeno and Strong Damping Limits in Strong Topology

Robert Salzmann

Frequent applications of a mixing quantum operation to a quantum system slow down its time evolution and eventually drive it into the invariant subspace of the named operation. We…

quant-ph2024★ 1 cited

Optimal Fidelity Estimation from Binary Measurements for Discrete and Continuous Variable Systems

Omar Fawzi, Aadil Oufkir, Robert Salzmann

Estimating the fidelity between a desired target quantum state and an actual prepared state is essential for assessing the success of experiments. For pure target states, we use fu…

math-ph2024★ 2 cited

Convergence Rates for the Trotter Splitting for Unbounded Operators

Simon Becker, Niklas Galke, Robert Salzmann +1

We study convergence rates of the Trotter splitting in the strong operator topology. In the first part, we use complex interpola…

quant-ph2024

Robustness of Fixed Points of Quantum Channels and Application to Approximate Quantum Markov Chains

Robert Salzmann, Bjarne Bergh, Nilanjana Datta

Given a quantum channel and a state which satisfy a fixed point equation approximately (say, up to an error ), can one find a new channel and a state, which are respec…

quant-ph2024★ 7 cited

An invitation to the sample complexity of quantum hypothesis testing

Hao-Chung Cheng, Nilanjana Datta, Nana Liu +3

Quantum hypothesis testing (QHT) has been traditionally studied from the information-theoretic perspective, wherein one is interested in the optimal decay rate of error probabiliti…