Richard Kueng - RankMe

61 papers A 2B 1Misc 1Journal 52Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Parametric Quantum State Tomography with HyperRBMs. ICAART (1) Simon Tonner, Viet T. Tran, Richard Kueng
2026	J	`jnl`	Parametric Quantum State Tomography with HyperRBMs. CoRR Simon Tonner, Viet T. Tran, Richard Kueng
2025	J	`jnl`	On the average-case complexity of learning output distributions of quantum circuits. Quantum Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
2025	J	`jnl`	Quantum computing and artificial intelligence: status and perspectives. CoRR 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, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm
2025	J	`jnl`	The Sound of Entanglement. CoRR Enar de Dios Rodríguez, Philipp Haslinger, Johannes Kofler, Richard Kueng, Benjamin Orthner, Alexander Ploier, Martin Ringbauer, Clemens Wenger
2024	J	`jnl`	Learning Properties of Quantum States Without the I.I.D. Assumption. CoRR Omar Fawzi, Richard Kueng, Damian Markham, Aadil Oufkir
2023	Misc	`conf`	Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers. QCE Tom Peham, Nina Brandl, Richard Kueng, Robert Wille, Lukas Burgholzer
2023	J	`jnl`	Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers. CoRR Tom Peham, Nina Brandl, Richard Kueng, Robert Wille, Lukas Burgholzer
2023	J	`jnl`	Improved machine learning algorithm for predicting ground state properties. CoRR Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
2023	J	`jnl`	On the average-case complexity of learning output distributions of quantum circuits. CoRR Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
2022	J	`jnl`	Approximating Decision Diagrams for Quantum Circuit Simulation. ACM Trans. Quantum Comput. Stefan Hillmich, Alwin Zulehner, Richard Kueng, Igor L. Markov, Robert Wille
2022	J	`jnl`	Characteristics of reversible circuits for error detection. Array Lukas Burgholzer, Robert Wille, Richard Kueng
2022	J	`jnl`	Faster quantum and classical SDP approximations for quadratic binary optimization. Quantum Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França
2022	J	`jnl`	Projected Least-Squares Quantum Process Tomography. Quantum Trystan Surawy-Stepney, Jonas Kahn, Richard Kueng, Madalin Guta
2022	J	`jnl`	Randomizing multi-product formulas for Hamiltonian simulation. Quantum Paul K. Faehrmann, Mark Steudtner, Richard Kueng, Maria Kieferova, Jens Eisert
2022	J	`jnl`	Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps. SIAM J. Matrix Anal. Appl. Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon
2021	A	`conf`	As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation. DATE Stefan Hillmich, Richard Kueng, Igor L. Markov, Robert Wille
2021	J	`jnl`	Binary Component Decomposition Part I: The Positive-Semidefinite Case. SIAM J. Math. Data Sci. Richard Kueng, Joel A. Tropp
2021	J	`jnl`	Efficient estimation of Pauli observables by derandomization. CoRR Hsin-Yuan Huang, Richard Kueng, John Preskill
2021	—	`conf`	Fast and Robust Quantum State Tomography from Few Basis Measurements. TQC Daniel Stilck França, Fernando G. S. L. Brandão, Richard Kueng
2021	J	`jnl`	Information-theoretic bounds on quantum advantage in machine learning. CoRR Hsin-Yuan Huang, Richard Kueng, John Preskill
2021	J	`jnl`	Proof methods for robust low-rank matrix recovery. CoRR Tim Fuchs, David Gross, Peter Jung, Felix Krahmer, Richard Kueng, Dominik Stöger
2021	J	`jnl`	Provably efficient machine learning for quantum many-body problems. CoRR Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill
2021	J	`jnl`	Quantum advantage in learning from experiments. CoRR Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean
2021	—	`conf`	Random Stimuli Generation for the Verification of Quantum Circuits. ASP-DAC Lukas Burgholzer, Richard Kueng, Robert Wille
2021	J	`jnl`	Sketching with Kerdock's crayons: Fast sparsifying transforms for arbitrary linear maps. CoRR Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon
2021	A	`conf`	Stochastic Quantum Circuit Simulation Using Decision Diagrams. DATE Thomas Grurl, Richard Kueng, Jürgen Fuß, Robert Wille
2020	J	`jnl`	Characteristics of Reversible Circuits for Error Detection. CoRR Lukas Burgholzer, Robert Wille, Richard Kueng
2020	J	`jnl`	Fast and robust quantum state tomography from few basis measurements. CoRR Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França
2020	J	`jnl`	Mixed-state entanglement from local randomized measurements. CoRR Andreas Elben, Richard Kueng, Hsin-Yuan Huang, Rick van Bijnen, Christian Kokail, Marcello Dalmonte, Pasquale Calabrese, Barbara Kraus, John Preskill, Peter Zoller, Benoît Vermersch
2020	J	`jnl`	Predicting Many Properties of a Quantum System from Very Few Measurements. CoRR Hsin-Yuan Huang, Richard Kueng, John Preskill
2020	J	`jnl`	Random Stimuli Generation for the Verification of Quantum Circuits. CoRR Lukas Burgholzer, Richard Kueng, Robert Wille
2019	J	`jnl`	Binary Component Decomposition Part I: The Positive-Semidefinite Case. CoRR Richard Kueng, Joel A. Tropp
2019	J	`jnl`	Binary component decomposition Part II: The asymmetric case. CoRR Richard Kueng, Joel A. Tropp
2019	J	`jnl`	Derandomizing Compressed Sensing With Combinatorial Design. Frontiers Appl. Math. Stat. Peter Jung, Richard Kueng, Dustin G. Mixon
2019	J	`jnl`	Fair redistricting is hard. Theor. Comput. Sci. Richard Kueng, Dustin G. Mixon, Soledad Villar
2019	J	`jnl`	Faster quantum and classical SDP approximations for quadratic binary optimization. CoRR Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França
2019	J	`jnl`	Guaranteed recovery of quantum processes from few measurements. Quantum Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2019	J	`jnl`	Predicting Features of Quantum Systems using Classical Shadows. CoRR Hsin-Yuan Huang, Richard Kueng
2018	J	`jnl`	Comments on "Improving Compressed Sensing With the Diamond Norm"-Saturation of the Norm Inequalities Between Diamond and Nuclear Norm. IEEE Trans. Inf. Theory Ulrich Michel, Martin Kliesch, Richard Kueng, David Gross
2018	J	`jnl`	Derandomizing compressed sensing with combinatorial design. CoRR Peter Jung, Richard Kueng, Dustin G. Mixon
2018	J	`jnl`	Fair redistricting is hard. CoRR Richard Kueng, Dustin G. Mixon, Soledad Villar
2018	J	`jnl`	Fast state tomography with optimal error bounds. CoRR Madalin Guta, Jonas Kahn, Richard Kueng, Joel A. Tropp
2018	—	`conf`	Hierarchical restricted isometry property for Kronecker product measurements. Allerton Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder
2018	J	`jnl`	Hierarchical restricted isometry property for Kronecker product measurements. CoRR Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder
2018	J	`jnl`	Recovering quantum gates from few average gate fidelities. CoRR Ingo Roth, Richard Kueng, Shelby Kimmel, Yi-Kai Liu, David Gross, Jens Eisert, Martin Kliesch
2018	J	`jnl`	Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements. IEEE Trans. Inf. Theory Richard Kueng, Peter Jung
2017	—	`—`	Convex reconstruction from structured measurements Richard Kueng
2017	J	`jnl`	Guaranteed recovery of quantum processes from few measurements. CoRR Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2016	J	`jnl`	Improving Compressed Sensing With the Diamond Norm. IEEE Trans. Inf. Theory Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2016	J	`jnl`	Low rank matrix recovery from Clifford orbits. CoRR Richard Kueng, Huangjun Zhu, David Gross
2016	J	`jnl`	Note on the saturation of the norm inequalities between diamond and nuclear norm. CoRR Ulrich Michel, Martin Kliesch, Richard Kueng, David Gross
2016	J	`jnl`	Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements. CoRR Richard Kueng, Peter Jung
2016	B	`conf`	Robust nonnegative sparse recovery and 0/1-Bernoulli measurements. ITW Richard Kueng, Peter Jung
2015	J	`jnl`	Improving compressed sensing with the diamond norm. CoRR Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2015	J	`jnl`	Qubit stabilizer states are complex projective 3-designs. CoRR Richard Kueng, David Gross
2015	J	`jnl`	Stable low-rank matrix recovery via null space properties. CoRR Maryia Kabanava, Richard Kueng, Holger Rauhut, Ulrich Terstiege
2014	J	`jnl`	Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns. CoRR David Gross, Felix Krahmer, Richard Kueng
2014	J	`jnl`	Low rank matrix recovery from rank one measurements. CoRR Richard Kueng, Holger Rauhut, Ulrich Terstiege
2013	J	`jnl`	A Partial Derandomization of PhaseLift using Spherical Designs. CoRR David Gross, Felix Krahmer, Richard Kueng
2012	J	`jnl`	RIPless compressed sensing from anisotropic measurements CoRR Richard Kueng, David Gross