Journal
PHYSICAL REVIEW A
Volume 103, Issue 6, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.103.062418
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Funding
- NSF [DMR-1747426, 1640968, 1806572, 1839177, 1936321]
- University of Illinois at Urbana-Champaign
- Direct For Mathematical & Physical Scien
- MPS Multidisciplinary Activities [1936321] Funding Source: National Science Foundation
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1839177] Funding Source: National Science Foundation
- Division Of Physics
- Direct For Mathematical & Physical Scien [1806572] Funding Source: National Science Foundation
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The study explores the optimization of optical quantum memories based on resonant and near-resonant interaction with ensembles of A-type level systems, with the condition that the temporal envelope of all optical fields must be Gaussian for experimental simplicity. The optimization demonstrated a path to saturate the storage efficiency bound independent of protocol, and revealed a continuous transformation between three physically distinct resonant quantum memory protocols through optimal Gaussian control field parameters. The study compares this Gaussian optimization scheme with standard shape-based optimization.
Optical quantum memory, the ability to store photonic quantum states and retrieve them on demand, is an essential resource for emerging quantum technologies and photonic quantum information protocols. Simultaneously achieving high efficiency and high-speed, broadband operation is an important task necessary for enabling these applications. We investigate the optimization of a large class of optical quantum memories based on resonant and near-resonant interaction with ensembles of A-type level systems with the restriction that the temporal envelope of all optical fields must be Gaussian, which reduces experimental complexity. Through this optimization we demonstrate an experimentally simple path to saturation of the protocol-independent storage efficiency bound that is valid for a wide range of memory bandwidths, including those that are broadband and high speed. Examining the resulting optimal Gaussian control field parameters, we find a continuous transformation between three physically distinct resonant quantum memory protocols. We compare this Gaussian optimization scheme with standard shape-based optimization.
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