output
20122026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

Showing quant-phShow all

6 papers · 1 filter

quant-ph2024★ 1 cited

Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms

Pascal Halffmann, Steve Lenk, Michael Trebing

In the rapidly advancing domain of quantum optimization, the confluence of quantum algorithms such as Quantum Annealing (QA) and the Quantum Approximate Optimization Algorithm (QAO…

quant-ph2023★ 181 cited

Challenges and Opportunities in Quantum Optimization

Amira Abbas, Andris Ambainis, Brandon Augustino +43

Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…

quant-ph2023★ 33 cited

Ultra-sensitive separation estimation of optical sources

Clémentine Rouvière, David Barral, Antonin Grateau +4

Historically, the resolution of optical imaging systems was dictated by diffraction, and the Rayleigh criterion was long considered an unsurpassable limit. In superresolution micro…

quant-ph2023

Practical tests for sub-Rayleigh source discriminations with imperfect demultiplexers

Konrad Schlichtholz, Tomasz Linowski, Mattia Walschaers +3

Quantum-optimal discrimination between one and two closely separated light sources can be achieved by ideal spatial-mode demultiplexing, simply monitoring whether a photon is detec…

quant-ph2022★ 11 cited

Application range of crosstalk-affected spatial demultiplexing for resolving separations between unbalanced sources

Tomasz Linowski, Konrad Schlichtholz, Giacomo Sorelli +4

Superresolution is one of the key issues at the crossroads of contemporary quantum optics and metrology. Recently, it was shown that for an idealized case of two balanced sources,…

quant-ph2022★ 34 cited

Quantum approximate optimization algorithm for qudit systems

Yannick Deller, Sebastian Schmitt, Maciej Lewenstein +5

A frequent starting point of quantum computation platforms are two-state quantum systems, i.e., qubits. However, in the context of integer optimization problems, relevant to schedu…