Can math beat gamers in Quantum Moves

@article{Sels2018CanMB,
  title={Can math beat gamers in Quantum Moves},
  author={Dries Sels},
  journal={Physical Review A},
  year={2018},
  volume={97}
}
  • Dries Sels
  • Published 26 September 2017
  • Physics
  • Physical Review A
In a recent work on quantum state preparation, S{\o}rensen and colleagues explore the possibility of using video games to help design quantum control protocols. The authors present a game called "Quantum Moves" in which gamers have to move an atom from A to B by means of optical tweezers. They report that, players succeed where purely numerical optimization fails [1]. Moreover, by harnessing the player strategies they can outperform the most prominent established numerical methods [1]. The aim… Expand

Figures from this paper

Energetic cost of quantum control protocols
We quantitatively assess the energetic cost of several well-known control protocols that achieve a finite time adiabatic dynamics, namely counterdiabatic and local counterdiabatic driving, optimalExpand
Floquet-Engineering Counterdiabatic Protocols in Quantum Many-Body Systems.
TLDR
It is shown how an approximate gauge potential can be systematically built up as a series of nested commutators, remaining well defined in the thermodynamic limit. 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.
Crowdsourcing human common sense for quantum control
TLDR
This work introduces a citizen science game, Quantum Moves 2, and compares the performance of different optimization methods across three different quantum optimal control problems of varying difficulty, and finds cluster-optimized player seeds was the only method to exhibit roughly optimal performance. Expand

References

SHOWING 1-10 OF 25 REFERENCES
Exploring the quantum speed limit with computer games
TLDR
It is shown that human players are able to find solutions to difficult problems associated with the task of quantum computing, and a few-parameter heuristic optimization method is developed that efficiently outperforms the most prominent established numerical methods. Expand
Physics: Quantum problems solved through games
TLDR
The development of Quantum Moves is described, an online platform that brings the power of citizen science and game-playing to optimization problems in quantum physics, and shows that player intuition can lead to new scientific insights. Expand
Minimizing irreversible losses in quantum systems by local counterdiabatic driving
TLDR
A simple variational approach allowing one to find the best possible counterdiabatic protocols given physical constraints, like locality is developed, which shows that, using these approximate protocols, one can drastically suppress heating and increase fidelity of quantum annealing protocols in complex many-particle systems. Expand
Mastering the game of Go with deep neural networks and tree search
TLDR
Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.5, the first time that a computer program has defeated a human professional player in the full-sized game of Go. Expand
Geometry and non-adiabatic response in quantum and classical systems
In these lecture notes, partly based on a course taught at the Karpacz Winter School in March 2014, we explore the close connections between non-adiabatic response of a system with respect toExpand
Predicting protein structures with a multiplayer online game
TLDR
Foldit is described, a multiplayer online game that engages non-scientists in solving hard prediction problems and shows that top-ranked Foldit players excel at solving challenging structure refinement problems in which substantial backbone rearrangements are necessary to achieve the burial of hydrophobic residues. Expand
Fast forward to the classical adiabatic invariant.
TLDR
It is shown how the classical action, an adiabatic invariant, can be preserved under nonadiabatic conditions, and a local dynamical invariant J(q,p,t) whose value remains constant along these trajectories is constructed. Expand
Shortcuts to adiabaticity by counterdiabatic driving for trapped-ion displacement in phase space
TLDR
The results demonstrate that shortcuts to adiabaticity provide a robust speedup of quantum protocols of wide applicability in quantum technologies. Expand
Transitionless quantum driving
For a general quantum system driven by a slowly time-dependent Hamiltonian, transitions between instantaneous eigenstates are exponentially weak. But a nearby Hamiltonian exists for which theExpand
Human-level control through deep reinforcement learning
TLDR
This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks. Expand
...
1
2
3
...