Quantum computer-enabled receivers for optical communication

被引:1
作者
Crossman, John [1 ,2 ]
Dimitroff, Spencer [1 ,3 ]
Cincio, Lukasz [4 ]
Sarovar, Mohan [1 ]
机构
[1] Sandia Natl Labs, Quantum Algorithms & Applicat Collaboratory, Livermore, CA 94550 USA
[2] Cornell Univ, Sch Appl & Engn Phys, Ithaca, NY 14853 USA
[3] Univ New Mexico, Ctr Quantum Informat & Control CQu, Dept Phys & Astron, Albuquerque, NM 87131 USA
[4] Los Alamos Natl Lab, Theoret Div, Los Alamos, NM 87545 USA
来源
QUANTUM SCIENCE AND TECHNOLOGY | 2024年 / 9卷 / 04期
关键词
quantum computation; quantum transduction; optical communication; MICROWAVE; LIMIT;
D O I
10.1088/2058-9565/ad5abb
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Optical communication is the standard for high-bandwidth information transfer in today's digital age. The increasing demand for bandwidth has led to the maturation of coherent transceivers that use phase- and amplitude-modulated optical signals to encode more bits of information per transmitted pulse. Such encoding schemes achieve higher information density, but also require more complicated receivers to discriminate the signaling states. In fact, achieving the ultimate limit of optical communication capacity, especially in the low light regime, requires coherent joint detection of multiple pulses. Despite their superiority, such joint detection receivers are not in widespread use because of the difficulty of constructing them in the optical domain. In this work we describe how optomechanical transduction of phase information from coherent optical pulses to superconducting qubit states followed by the execution of trained short-depth variational quantum circuits can perform joint detection of communication codewords with error probabilities that surpass all classical, individual pulse detection receivers. Importantly, we utilize a model of optomechanical transduction that captures non-idealities such as thermal noise and loss in order to understand the transduction performance necessary to achieve a quantum advantage with such a scheme. We also execute the trained variational circuits on an IBM-Q device with the modeled transduced states as input to demonstrate that a quantum advantage is possible even with current levels of quantum computing hardware noise.
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页数:17
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