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Related Concept Videos

Control Systems01:10

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
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Hybrid Quantum-Classical Approach to Quantum Optimal Control.

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Summary
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We present a hybrid quantum-classical approach for quantum optimal control. This method leverages quantum simulators for complex calculations, enabling efficient optimization of quantum systems.

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Area of Science:

  • Quantum Computing
  • Quantum Control
  • Computational Science

Background:

  • Identifying computational problems for quantum speedup is a key challenge.
  • Quantum optimal control is computationally intensive, often requiring large Hilbert space calculations.

Purpose of the Study:

  • To propose a hybrid quantum-classical scheme for solving the quantum optimal control problem.
  • To demonstrate the feasibility of using quantum simulators for computationally demanding tasks in control algorithms.

Main Methods:

  • A hybrid approach combining classical optimization with quantum computation.
  • Utilizing a quantum simulator for fitness function and gradient computation in control algorithms.
  • Employing a seven-qubit nuclear magnetic resonance system for experimental validation.

Main Results:

  • The computationally demanding aspects of gradient-based optimal control algorithms were offloaded to a quantum simulator.
  • An optimal control solution was found by iteratively updating parameters based on quantum simulator feedback.
  • Successful experimental demonstration of optimized state preparation on a seven-qubit system without classical large Hilbert space evolution.

Conclusions:

  • The proposed hybrid scheme effectively tackles the quantum optimal control problem.
  • Quantum simulators can significantly accelerate computations within optimal control frameworks.
  • This approach offers a practical pathway for optimizing quantum systems using near-term quantum devices.