Fetching the paper…
Reading the bibliography…
A critical engineering challenge in quantum technology is the accurate control of quantum dynamics.
Hamiltonian systems and transformation in Hilbert space
B. O. Koopman · 1931
Earlier work this paper cites.
Dynamical systems of continuous spectra
B. O. Koopman and J. v. Neumann · 1932
Earlier work this paper cites.
Mathematical foundations of quantum mechanics
John von Neumann, Robert T. Beyer, and Nicholas A. Wheeler · 1932
Earlier work this paper cites.
Topics in Matrix Analysis
Roger A. Horn and Charles R. Johnson · 1991
Earlier work this paper cites.
Extended Kalman filter based nonlinear model predictive control
Jay H Lee and N Lawrence Ricker · 1994
Earlier work this paper cites.
Constrained model predictive control: Stability and optimality
David Q Mayne, James B Rawlings, Christopher V Rao, and Pierre OM Scokaert · 2000
Earlier work this paper cites.
A survey of industrial model predictive control technology
S Joe Qin and Thomas A Badgwell · 2003
Earlier work this paper cites.
Convex optimization
Stephen Boyd, Stephen P Boyd, and Lieven Vandenberghe · 2004
Earlier work this paper cites.
Optimal control of coupled spin dynamics: Design of NMR pulse sequences by gradient ascent algorithms
Navin Khaneja, Timo Reiss, Cindie Kehlet, Thomas Schulte-Herbrüggen, and Steffen J Glaser · 2004
Earlier work this paper cites.
Robust model predictive control of constrained linear systems with bounded disturbances
David Q Mayne, María M Seron, and SV Raković · 2004
Earlier work this paper cites.
Spectral properties of dynamical systems, model reduction and decompositions
Igor Mezić · 2005
Earlier work this paper cites.
Numerical optimization
Jorge Nocedal and Stephen Wright · 2006
Earlier work this paper cites.
Optimal control: Linear quadratic methods
Brian DO Anderson and John B Moore · 2007
Earlier work this paper cites.
Predictive active steering control for autonomous vehicle systems
Paolo Falcone, Francesco Borrelli, Jahan Asgari, Hongtei Eric Tseng, and Davor Hrovat · 2007
Earlier work this paper cites.
State-dependent Riccati equation (SDRE) control: A survey
Tayfun Çimen · 2008
Earlier work this paper cites.
Simple pulses for elimination of leakage in weakly nonlinear qubits
Felix Motzoi, Jay M Gambetta, Patrick Rebentrost, and Frank K Wilhelm · 2009
Earlier work this paper cites.
Fast model predictive control using online optimization
Yang Wang and Stephen Boyd · 2009
Earlier work this paper cites.
Modeling and control of quantum systems: An introduction
Claudio Altafini and Francesco Ticozzi · 2012
Earlier work this paper cites.
QuTiP: An open-source Python framework for the dynamics of open quantum systems
J Robert Johansson, Paul D Nation, and Franco Nori · 2012
Earlier work this paper cites.
QuTiP 2: A Python framework for the dynamics of open quantum systems
J.R. Johansson, P.D. Nation, and Franco Nori · 2012
Earlier work this paper cites.
Analysis of fluid flows via spectral properties of the Koopman operator
Igor Mezic · 2013
Earlier work this paper cites.
Adaptive hybrid optimal quantum control for imprecisely characterized systems
Daniel J Egger and Frank K Wilhelm · 2014
Earlier work this paper cites.
Optimal control theory for a unitary operation under dissipative evolution
Michael H Goerz, Daniel M Reich, and Christiane P Koch · 2014
Earlier work this paper cites.
Optimal quantum control using randomized benchmarking
Julian Kelly, Rami Barends, Brooks Campbell, Yu Chen, Zijun Chen, Ben Chiaro, Andrew Dunsworth, Austin G Fowler, I-C Hoi, Evan Jeffrey, et al · 2014
Earlier work this paper cites.
Training Schrödinger’s cat: Quantum optimal control
Steffen J Glaser, Ugo Boscain, Tommaso Calarco, Christiane P Koch, Walter Köckenberger, Ronnie Kosloff, Ilya Kuprov, Burkhard Luy, Sophie Schirmer, Thomas Schulte-Herbrüggen, et al · 2015
Earlier work this paper cites.
Controlling quantum devices with nonlinear hardware
IN Hincks, CE Granade, Troy W Borneman, and David G Cory · 2015
Earlier work this paper cites.
Embed to Control: A locally linear latent dynamics model for control from raw images
Manuel Watter, Jost Springenberg, Joschka Boedecker, and Martin Riedmiller · 2015
Cited alongside, same era.
CVXPY: A Python-embedded modeling language for convex optimization
Steven Diamond and Stephen Boyd · 2016
Cited alongside, same era.
From linear to nonlinear MPC: Bridging the gap via the real-time iteration
Sébastien Gros, Mario Zanon, Rien Quirynen, Alberto Bemporad, and Moritz Diehl · 2016
Cited alongside, same era.
Streaming GPU singular value and dynamic mode decompositions
Seth D Pendergrass, J Nathan Kutz, and Steven L Brunton · 2016
Cited alongside, same era.
Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search
Tianhao Zhang, Gregory Kahn, Sergey Levine, and Pieter Abbeel · 2016
Cited alongside, same era.
Model-based Reinforcement Learning: A survey
Thomas M Moerland, Joost Broekens, and Catholijn M Jonker · 2020
Later among the works it cites.
Data-driven model predictive control using interpolated Koopman generators
Sebastian Peitz, Samuel E Otto, and Clarence W Rowley · 2020
Later among the works it cites.
Detecting crosstalk errors in quantum information processors
Mohan Sarovar, Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout · 2020
Later among the works it cites.
OSQP: An operator splitting solver for quadratic programs
B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd · 2020
Later among the works it cites.
SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Model-based control using Koopman operators
Ian Abraham, Gerardo de la Torre, and Todd Murphey · 2017
Cited alongside, same era.
Model predictive control in aerospace systems: Current state and opportunities
Utku Eren, Anna Prach, Başaran Bahadır Koçer, Saša V Raković, Erdal Kayacan, and Behçet Açıkmeşe · 2017
Cited alongside, same era.
Relations between model predictive control and reinforcement learning
Daniel Görges · 2017
Cited alongside, same era.
Deep learning and model predictive control for self-tuning mode-locked lasers
Thomas Baumeister, Steven L Brunton, and J Nathan Kutz · 2018
Cited alongside, same era.
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
Eurika Kaiser, J Nathan Kutz, and Steven L Brunton · 2018
Cited alongside, same era.
Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control
Milan Korda and Igor Mezić · 2018
Cited alongside, same era.
Tunable, flexible, and efficient optimization of control pulses for practical qubits
Shai Machnes, Elie Assémat, David Tannor, and Frank K Wilhelm · 2018
Cited alongside, same era.
Later among the works it cites.
High-fidelity software-defined quantum logic on a superconducting qudit
Xian Wu, SL Tomarken, N Anders Petersson, LA Martinez, Yaniv J Rosen, and Jonathan L DuBois · 2020
Later among the works it cites.
Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer
Yuval Baum, Mirko Amico, Sean Howell, Michael Hush, Maggie Liuzzi, Pranav Mundada, Thomas Merkh, Andre R.R. Carvalho, and Michael J. Biercuk · 2021
Later among the works it cites.
Advantages of bilinear Koopman realizations for the modeling and control of systems with unknown dynamics
Daniel Bruder, Xun Fu, and Ram Vasudevan · 2021
Later among the works it cites.
Modern Koopman theory for dynamical systems
Steven L Brunton, Marko Budišić, Eurika Kaiser, and J Nathan Kutz · 2021
Later among the works it cites.
Introduction to quantum control and dynamics
Domenico d’Alessandro · 2021
Later among the works it cites.
Koopman NMPC: Koopman-based learning and nonlinear model predictive control of control-affine systems
Carl Folkestad and Joel W Burdick · 2021
Later among the works it cites.
Learning to forecast dynamical systems from streaming data
Dimitris Giannakis, Amelia Henriksen, Joel A Tropp, and Rachel Ward · 2021
Later among the works it cites.
Bilinear dynamic mode decomposition for quantum control
Andy Goldschmidt, Eurika Kaiser, Jonathan L Dubois, Steven L Brunton, and J Nathan Kutz · 2021
Later among the works it cites.
Quandary: An open-source C++ package for high-performance optimal control of open quantum systems
Stefanie Günther, N. Anders Petersson, and Jonathan L. DuBois · 2021
Later among the works it cites.
ALTRO-C: A fast solver for conic model-predictive control
Brian E Jackson, Tarun Punnoose, Daniel Neamati, Kevin Tracy, Rianna Jitosho, and Zachary Manchester · 2021
Later among the works it cites.
Theory of quantum system certification
Martin Kliesch and Ingo Roth · 2021
Later among the works it cites.
Finite-data error bounds for Koopman-based prediction and control
Feliks Nüske, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and Karl Worthmann · 2021
Later among the works it cites.
Model predictive Q-learning (MPQ-L) for bilinear systems
Minh Q Phan and Seyed Mahdi B Azad · 2021
Later among the works it cites.
Leakage reduction in fast superconducting qubit gates via optimal control
Max Werninghaus, Daniel J Egger, Federico Roy, Shai Machnes, Frank K Wilhelm, and Stefan Filipp · 2021
Later among the works it cites.
Integrated tool set for control, calibration, and characterization of quantum devices applied to superconducting qubits
Nicolas Wittler, Federico Roy, Kevin Pack, Max Werninghaus, Anurag Saha Roy, Daniel J Egger, Stefan Filipp, Frank K Wilhelm, and Shai Machnes · 2021
Later among the works it cites.
Pulse-level noisy quantum circuits with qutip
Boxi Li, Shahnawaz Ahmed, Sidhant Saraogi, Neill Lambert, Franco Nori, Alexander Pitchford, and Nathan Shammah · 2022
Closest in time.
Robust quantum optimal control with trajectory optimization
Thomas Propson, Brian E Jackson, Jens Koch, Zachary Manchester, and David I Schuster · 2022
Closest in time.
Towards efficient and reliable prediction-based control using eDMD
Manuel Schaller, Karl Worthmann, Friedrich Philipp, Sebastian Peitz, and Feliks Nüske · 2022
Closest in time.
Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays
Henrique Silvério, Sebastián Grijalva, Constantin Dalyac, Lucas Leclerc, Peter J Karalekas, Nathan Shammah, Mourad Beji, Louis-Paul Henry, and Loïc Henriet · 2022
Closest in time.
Software tools for quantum control: Improving quantum computer performance through noise and error suppression
Harrison Ball, Michael Biercuk, Andre Carvalho, Jiayin Chen, Michael Robert Hush, Leonardo A De Castro, Li Li, Per J Liebermann, Harry Slatyer, Claire Edmunds, et al · 2058
Closest in time.