mlsanityData to 14 Oct 2026

Energy-dependent barren plateau in bosonic variational quantum circuits

arXiv 2305.01799 ↗First posted 2 May 2023quant-ph cs.LGcited by 1

Not on the map. Why?

Abstract (arXiv)

Bosonic continuous-variable Variational quantum circuits (VQCs) are crucial for information processing in cavity quantum electrodynamics and optical systems, widely applicable in quantum communication, sensing and error correction. The trainability of such VQCs is less understood, hindered by the lack of theoretical tools such as t-design due to the infinite dimension of the physical systems involved. We overcome this difficulty to reveal an energy-dependent barren plateau in such VQCs. The variance of the gradient decays as 1/EMnu, exponential in the number of modes M but polynomial in the (per-mode) circuit energy E. The exponent nu=1 for shallow circuits and nu=2 for deep circuits. We prove these results for state preparation of general Gaussian states and number states. We also provide numerical evidence that the results extend to general state preparation tasks. As circuit energy is a controllable parameter, we provide a strategy to mitigate the barren plateau in continuous-variable VQCs.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 15 of its 96 references that are in the map. First posted on arXiv 2 May 2023.

Builds on

15 of 96 references.

References · 15

  1. 2020Variational Quantum Algorithmscited by 692
  2. 2018Supervised learning with quantum enhanced feature spacescited by 665
  3. 2018Barren plateaus in quantum neural network training landscapescited by 630
  4. 2020Noise-Induced Barren Plateaus in Variational Quantum Algorithmscited by 193
  5. 2020Entanglement Induced Barren Plateauscited by 101
  6. 2018Continuous-variable quantum neural networkscited by 74
  7. 2021Representation Learning via Quantum Neural Tangent Kernelscited by 40
  8. 2018Universal discriminative quantum neural networkscited by 16
  9. 2018Adversarial quantum circuit learning for pure state approximationcited by 16
  10. 2021Learning quantum data with the quantum Earth Mover's distancecited by 13
  11. 2019Variational Quantum Circuits for Quantum State Tomographycited by 8
  12. 2022Mitigating barren plateaus of variational quantum eigensolverscited by 8
3 more
  1. 2017Complex Networks from Classical to Quantumcited by 4
  2. 2019Towards Large-Scale Quantum Networkscited by 1
  3. 2020Entanglement formation in continuous-variable random quantum networkscited by 1

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.