RIPless compressed sensing from anisotropic measurements - Richard Kueng; David Gross 003 (CoRR, 2012)

A Partial Derandomization of PhaseLift using Spherical Designs. - David Gross 003; Felix Krahmer; Richard Kueng (CoRR, 2013)

Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns. - David Gross 003; Felix Krahmer; Richard Kueng (CoRR, 2014)

Low rank matrix recovery from rank one measurements. - Richard Kueng; Holger Rauhut; Ulrich Terstiege (CoRR, 2014)

Stable low-rank matrix recovery via null space properties. - Maryia Kabanava; Richard Kueng; Holger Rauhut; Ulrich Terstiege (CoRR, 2015)

Qubit stabilizer states are complex projective 3-designs. - Richard Kueng; David Gross 003 (CoRR, 2015)

Robust nonnegative sparse recovery and 0/1-Bernoulli measurements. - Richard Kueng; Peter Jung 001 (ITW, 2016)

Low rank matrix recovery from Clifford orbits. - Richard Kueng; Huangjun Zhu; David Gross 003 (CoRR, 2016)

Note on the saturation of the norm inequalities between diamond and nuclear norm. - Ulrich Michel; Martin Kliesch; Richard Kueng; David Gross 003 (CoRR, 2016)

Improving Compressed Sensing With the Diamond Norm. - Martin Kliesch; Richard Kueng; Jens Eisert; David Gross 003 (IEEE Trans. Inf. Theory, 2016)

Convex reconstruction from structured measurements - Richard Kueng (2017)

Hierarchical restricted isometry property for Kronecker product measurements. - Ingo Roth; Axel Flinth; Richard Kueng; Jens Eisert; Gerhard Wunder (Allerton, 2018)

Recovering quantum gates from few average gate fidelities. - Ingo Roth; Richard Kueng; Shelby Kimmel; Yi-Kai Liu 001; David Gross 003; Jens Eisert; Martin Kliesch (CoRR, 2018)

Fast state tomography with optimal error bounds. - Madalin Guta; Jonas Kahn; Richard Kueng; Joel A. Tropp (CoRR, 2018)

Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements. - Richard Kueng; Peter Jung 001 (IEEE Trans. Inf. Theory, 2018)

Comments on "Improving Compressed Sensing With the Diamond Norm"-Saturation of the Norm Inequalities Between Diamond and Nuclear Norm. - Ulrich Michel; Martin Kliesch; Richard Kueng; David Gross 003 (IEEE Trans. Inf. Theory, 2018)

Binary component decomposition Part II: The asymmetric case. - Richard Kueng; Joel A. Tropp (CoRR, 2019)

Predicting Features of Quantum Systems using Classical Shadows. - Hsin-Yuan Huang; Richard Kueng (CoRR, 2019)

Derandomizing Compressed Sensing With Combinatorial Design. - Peter Jung 001; Richard Kueng; Dustin G. Mixon (Frontiers Appl. Math. Stat., 2019)

Guaranteed recovery of quantum processes from few measurements. - Martin Kliesch; Richard Kueng; Jens Eisert; David Gross 003 (Quantum, 2019)

Fair redistricting is hard. - Richard Kueng; Dustin G. Mixon; Soledad Villar (Theor. Comput. Sci., 2019)

Predicting Many Properties of a Quantum System from Very Few Measurements. - Hsin-Yuan Huang; Richard Kueng; John Preskill (CoRR, 2020)

Mixed-state entanglement from local randomized measurements. - Andreas Elben; Richard Kueng; Hsin-Yuan Huang; Rick van Bijnen; Christian Kokail; Marcello Dalmonte; Pasquale Calabrese; Barbara Kraus; John Preskill; Peter Zoller 001; Benoît Vermersch (CoRR, 2020)

Random Stimuli Generation for the Verification of Quantum Circuits. - Lukas Burgholzer; Richard Kueng; Robert Wille (ASP-DAC, 2021)

Stochastic Quantum Circuit Simulation Using Decision Diagrams. - Thomas Grurl; Richard Kueng; Jürgen Fuß; Robert Wille (DATE, 2021)

As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation. - Stefan Hillmich; Richard Kueng; Igor L. Markov; Robert Wille (DATE, 2021)

Fast and Robust Quantum State Tomography from Few Basis Measurements. - Daniel Stilck França; Fernando G. S. L. Brandão; Richard Kueng (TQC, 2021)

Information-theoretic bounds on quantum advantage in machine learning. - Hsin-Yuan Huang; Richard Kueng; John Preskill (CoRR, 2021)

Efficient estimation of Pauli observables by derandomization. - Hsin-Yuan Huang; Richard Kueng; John Preskill (CoRR, 2021)

Proof methods for robust low-rank matrix recovery. - Tim Fuchs; David Gross 003; Peter Jung 001; Felix Krahmer; Richard Kueng; Dominik Stöger (CoRR, 2021)

Provably efficient machine learning for quantum many-body problems. - Hsin-Yuan Huang; Richard Kueng; Giacomo Torlai; Victor V. Albert; John Preskill (CoRR, 2021)

Quantum advantage in learning from experiments. - Hsin-Yuan Huang; Michael Broughton; Jordan Cotler; Sitan Chen; Jerry Li 001; Masoud Mohseni; Hartmut Neven; Ryan Babbush; Richard Kueng; John Preskill; Jarrod R. McClean (CoRR, 2021)

Binary Component Decomposition Part I: The Positive-Semidefinite Case. - Richard Kueng; Joel A. Tropp (SIAM J. Math. Data Sci., 2021)

Characteristics of reversible circuits for error detection. - Lukas Burgholzer; Robert Wille; Richard Kueng (Array, 2022)

Faster quantum and classical SDP approximations for quadratic binary optimization. - Fernando G. S. L. Brandão; Richard Kueng; Daniel Stilck França (Quantum, 2022)

Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps. - Tim Fuchs; David Gross 003; Felix Krahmer; Richard Kueng; Dustin G. Mixon (SIAM J. Matrix Anal. Appl., 2022)

Randomizing multi-product formulas for Hamiltonian simulation. - Paul K. Faehrmann; Mark Steudtner; Richard Kueng; Maria Kieferova; Jens Eisert (Quantum, 2022)

Projected Least-Squares Quantum Process Tomography. - Trystan Surawy-Stepney; Jonas Kahn; Richard Kueng; Madalin Guta (Quantum, 2022)

Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers. - Tom Peham; Nina Brandl; Richard Kueng; Robert Wille; Lukas Burgholzer (QCE, 2023)

Improved machine learning algorithm for predicting ground state properties. - Laura Lewis; Hsin-Yuan Huang; Viet T. Tran; Sebastian Lehner; Richard Kueng; John Preskill (CoRR, 2023)

On the average-case complexity of learning output distributions of quantum circuits. - Alexander Nietner; Marios Ioannou; Ryan Sweke; Richard Kueng; Jens Eisert; Marcel Hinsche; Jonas Haferkamp (CoRR, 2023)

Learning Properties of Quantum States Without the I.I.D. Assumption. - Omar Fawzi; Richard Kueng; Damian Markham; Aadil Oufkir (CoRR, 2024)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)