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Exploring the quantum speed limit with computer games.

Jens Jakob W H Sørensen1, Mads Kock Pedersen1, Michael Munch1

  • 1Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark.

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|April 15, 2016
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Summary
This summary is machine-generated.

Citizen science games like Quantum Moves leverage human intuition for complex quantum computing problems. Players discover optimization strategies that outperform traditional numerical methods, advancing quantum physics research.

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Area of Science:

  • Quantum physics
  • Quantum computing
  • Computational complexity

Background:

  • Humans excel at solving complex problems using intuitive, low-dimensional strategies.
  • Citizen science and gamification are effective tools for engaging non-experts in research.
  • Gamification has not yet been widely applied to quantum physics optimization problems.

Purpose of the Study:

  • To apply gamification to quantum physics optimization problems through the "Quantum Moves" online platform.
  • To investigate if human players can find solutions to quantum computing optimization challenges.
  • To develop novel optimization methods inspired by human strategies.

Main Methods:

  • Developed "Quantum Moves," an online platform gamifying quantum physics optimization.
  • Analyzed solutions found by human players on the platform.
  • Created a low-dimensional rendering of the optimization landscape to understand method limitations.
  • Developed a heuristic optimization method based on player strategies.

Main Results:

  • Human players successfully found solutions to complex quantum computing optimization problems.
  • Player-derived strategies outperformed established numerical optimization methods.
  • Analysis revealed why traditional methods fail near the quantum speed limit.
  • A new heuristic optimization method demonstrated superior efficiency.

Conclusions:

  • Gamification is a viable approach for tackling complex problems in quantum physics.
  • Human intuition offers unique insights into optimization challenges, surpassing numerical methods in certain scenarios.
  • The developed heuristic method shows promise for broader applications in quantum physics and beyond.