Crowdsourcing human common sense for quantum control

@article{Jensen2020CrowdsourcingHC,
  title={Crowdsourcing human common sense for quantum control},
  author={Jesper Hasseriis Mohr Jensen and Miroslav Gajdacz and Shaeema Zaman Ahmed and Jakub Herman Czarkowski and Carrie A. Weidner and Janet Rafner and Jens Jakob W. H. S{\o}rensen and Klaus M{\o}lmer and Jacob Friis Sherson},
  journal={arXiv: Quantum Physics},
  year={2020}
}
Citizen science methodologies have over the past decade been applied with great success to help solve highly complex numerical challenges. Here, we take early steps in the quantum physics arena by introducing a citizen science game, Quantum Moves 2, and compare the performance of different optimization methods across three different quantum optimal control problems of varying difficulty. Inside the game, players can apply a gradient-based algorithm (running locally on their device) to optimize… Expand
Counterdiabatic control of transport in a synthetic tight-binding lattice
Quantum state transformations that are robust to experimental imperfections are important for applications in quantum information science and quantum sensing. Counterdiabatic (CD) approaches, whichExpand
Quantum composer: A programmable quantum visualization and simulation tool for education and research
TLDR
This work introduces Quantum Composer, which allows the user to build, expand, or explore quantum mechanical simulations by interacting with graphically connectable nodes, each corresponding to a physical concept, mathematical operation, visualization, etc. Expand
Retraction Note: Exploring the quantum speed limit with computer games
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
TLDR
This work discusses the bene ts of solving Citizen Science (CS) tasks with Hybrid Intelligence (HI), a synergetic mixture of human and arti cial intelligence, and proposes a framework for types of human-AI interaction in CS based on established criteria of HI. Expand
Achieving fast high-fidelity optimal control of many-body dynamics
We demonstrate the efficiency of a recent exact-gradient optimal control methodology by applying it to a challenging many-body problem described by matrix product states. In contrast to previous,Expand
Achieving fast high-fidelity optimal control of many-body quantum dynamics
We demonstrate the efficiency of a recent exact-gradient optimal control methodology by applying it to a challenging many-body problem, crossing the superfluid to Mott-insulator phase transition inExpand
Approximate dynamics leading to more optimal control: Efficient exact derivatives
TLDR
By deriving analytically exact control derivatives (gradient and Hessian), it is shown here that the feasibility of meeting this central accuracy requirement critically depends on the choice of propagation scheme and problem representation, and unlocks efficient optimization of many-body dynamics operating in the unprecedented high-fidelity regime. Expand
Crowds, Citizens, and Science: A Multi-Dimensional Framework and Agenda for Future Research
Research projects that actively involve “crowds” or non-professional “citizen scientists” are attracting growing attention. Such projects promise to increase scientific productivity while alsoExpand
Crowds, citizens, and science: a multi-dimensional framework and agenda for future research
Research projects that actively involve ‘crowds’ or non-professional ‘citizen scientists’ are attracting growing attention. Such projects promise to increase scientific productivity while also conn...
Endless Fun in high dimensions -- A Quantum Card Game
Quantum technologies, i.e., technologies benefiting from the features of quantum physics such as objective randomness, superposition, and entanglement, have enabled an entirely different way ofExpand
...
1
2
...

References

SHOWING 1-10 OF 77 REFERENCES
Philosophical Transactions of the Royal Society of London
TLDR
This book is coming as the best seller book today and when you are really a good reader or you're fans of the author, it does will be funny if you don't have this book. Expand
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining
TLDR
This report contains papers from the second international conference on knowledge discovery and data mining, which focused on combining data mining and machine learning. Expand
Proceedings of the National Academy of Sciences, USA
TLDR
The song below is a talking blues in the style of Woody Guthrie, written by Joel Herskowitz, a pediatric neurologist working in Boston, and sung by Joel and his brother Ira. Expand
Computer Physics Communications 243
  • 135
  • 2019
Physical Review A 97
  • 040302
  • 2018
A
  • Lieberoth, et al., Nature 532, 210
  • 2016
A
  • Ž́ıdek, A. W. R. Nelson, A. Bridgland, H. Penedones, S. Petersen, K. Simonyan, S. Crossan, P. Kohli, D. T. Jones, D. Silver, K. Kavukcuoglu, and D. Hassabis, Nature 577, 706
  • 2020
Discovering physical concepts with neural networks
TLDR
This work models a neural network architecture after the human physical reasoning process, which has similarities to representation learning, and applies this method to toy examples to show that the network finds the physically relevant parameters, exploits conservation laws to make predictions, and can help to gain conceptual insights. Expand
Future of minds and machines
  • nesta report,”
  • 2020
Future of minds and machines, nesta report
  • 2020
...
1
2
3
4
5
...