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Photonic variational quantum eigensolver for NISQ-compatible quantum technology.

Kang-Min Hu1,2, Min Namkung1, Hyang-Tag Lim3,4

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Summary
This summary is machine-generated.

Variational quantum algorithms like the variational quantum eigensolver (VQE) offer practical quantum computing solutions for noisy devices. This study details methods for implementing VQE on photonic systems, demonstrating their potential for complex problem-solving.

Keywords:
Photonic systemQuantum computationVariational quantum eigensolver

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Photonic Systems

Background:

  • Quantum computers promise significant speed-ups for intractable problems but require deep circuits challenging for current noisy devices.
  • Variational quantum algorithms (VQAs) are crucial for the noisy intermediate-scale quantum (NISQ) era, with the variational quantum eigensolver (VQE) being a leading approach.
  • VQE is applicable to quantum chemistry, many-body physics, and integer factorization, requiring implementation on diverse quantum hardware.

Purpose of the Study:

  • To present methodologies for realizing the variational quantum eigensolver (VQE) on photonic systems.
  • To highlight the potential of photonic platforms for practical quantum computing applications.
  • To explore the theoretical framework of VQE and its implementation using photonic systems.

Main Methods:

  • Theoretical overview of the VQE framework, focusing on ground state energy estimation.
  • Exploration of photonic system implementations for VQE processes.
  • Demonstration of VQE realization using either multiple qubit states or single qudit states on photonic platforms.

Main Results:

  • Photonic systems offer advantages for VQE, including room-temperature operation, low decoherence, and high dimensionality.
  • Methodologies for implementing VQE on photonic systems are presented.
  • The study shows that VQE on photonic systems can address a wide variety of computational problems.

Conclusions:

  • Photonic systems are a promising platform for scalable, high-dimensional quantum computation.
  • The presented methodologies enable practical VQE implementations, advancing quantum computing capabilities.
  • VQE on photonic systems holds significant potential for solving complex problems in various scientific domains.