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ISSN 2095-9184 (print), ISSN 2095-9230 (online)

A low-noise, high-gain, and large-dynamic-range photodetector based on a JFET and a charge amplifier

Abstract: We demonstrate a low-noise, high-gain, and large-dynamic-range photodetector (PD) based on a junction field-effect transistor (JFET) and a charge amplifier for the measurement of quantum noise in Bell-state detection (BSD). Particular photodiode junction capacitance allows the silicon N-channel JFET 2sk152 to be matched to the noise requirement for charge amplifier A250. The electronic noise of the PD is effectively suppressed and the signal-to-noise ratio (SNR) is up to 15 dB at the analysis frequency of 2.75 MHz for a coherent laser power of 50.08 μW. By combining of the inductor and capacitance, the alternating current (AC) and direct current (DC) branches of the PD can operate linearly in a dynamic range from 25.06 μW to 17.50 mW. The PD can completely meet the requirements of SNR and dynamic range for BSD in quantum optics experiments.

Key words: Quantum noise; Bell-state detection (BSD); Photodetector (PD); Junction field-effect transistor (JFET); Charge amplifier

Chinese Summary  <9> åŸºäºŽéžçº¿æ€§è‡ªå›žå½’多ä¿çœŸä»£ç†æ¨¡åž‹å’Œä¸»åŠ¨å­¦ä¹ çš„高效å¯é æ€§åˆ†æžæ–¹æ³•

作者:æŽä¸€å¸†ï¼Œé¡¹æ¶Œæ¶Œï¼Œæ–½ç½—æ°ï¼Œæ½˜æŸæ¾
机构:浙江工业大学,机械工程学院,中国æ­å·žï¼Œ310023
目的:针对现有多ä¿çœŸå»ºæ¨¡æ–¹æ³•éœ€è¦åµŒå¥—训练样本æ¥æ•æ‰æ•°æ®ç›¸å…³æ€§å¯¼è‡´çš„计算æˆæœ¬å¢žåŠ ä¸Žæœªå……分考虑ä¸åŒä¿çœŸåº¦æ ·æœ¬ä¹‹é—´éžçº¿æ€§å…³ç³»å¯¼è‡´æ¨¡åž‹ç²¾åº¦ä½Žçš„问题,本文æ出一ç§ç»“åˆå¤šä¿çœŸå»ºæ¨¡å’Œä¸»åŠ¨å­¦ä¹ çš„å¯é æ€§åˆ†æžæ–¹æ³•ï¼Œæ—¨åœ¨å®žçŽ°é«˜æ•ˆä¸”准确的失效概率估计。
创新点:1.基于éžçº¿æ€§è‡ªå›žå½’方案构建了一ç§éžçº¿æ€§è‡ªå›žå½’多ä¿çœŸå…‹é‡Œé‡‘(NAMK)模型;2.在模型更新过程中,用集æˆçš„多ä¿çœŸå­¦ä¹ å‡½æ•°ä»£æ›¿ä¼ ç»Ÿçš„学习函数,通过综åˆè€ƒè™‘采样æˆæœ¬å’Œå¤šä¿çœŸæ ·æœ¬ä¹‹é—´çš„相关性,从多ä¿çœŸæ ·æœ¬ç©ºé—´ä¸­é€‰æ‹©æ–°çš„采样点;3.当选择高ä¿çœŸæ ·æœ¬æ—¶ï¼Œä½¿ç”¨æ®‹å·®æ¨¡åž‹ç”ŸæˆåµŒå¥—的低ä¿çœŸæ ·æœ¬ã€‚
方法:1.在指定的å‚数范围内选择åˆå§‹å¤šä¿çœŸæ ·æœ¬ï¼Œå¹¶ä½¿ç”¨NAMK构建åˆå§‹ä»£ç†æ¨¡åž‹ï¼›2.通过集æˆå­¦ä¹ å‡½æ•°ç¡®å®šæ–°æ ·æœ¬çš„ä½ç½®å’Œä¿çœŸåº¦ï¼›3.一旦选择了一个高ä¿çœŸæ ·æœ¬ï¼Œæ ¹æ®æ®‹å·®æ¨¡åž‹ç”ŸæˆåµŒå¥—的低ä¿çœŸåº¦æ ·æœ¬å¹¶æ ¹æ®æ–°çš„样本更新模型;4.使用基于相对误差估计的åœæ­¢å‡†åˆ™ç»ˆæ­¢ä¸»åŠ¨å­¦ä¹ è¿‡ç¨‹å¹¶è¾“出失效概率估计结果。
结论:1.本文所æ出的基于多ä¿çœŸå»ºæ¨¡å’Œä¸»åŠ¨å­¦ä¹ çš„å¯é åˆ†æžæ–¹æ³•æ高了失效概率估计的效率和精度;2.利用NAMK模型æ¥æ•æ‰å¤šä¿çœŸæ ·æœ¬ä¹‹é—´çš„éžçº¿æ€§å…³ç³»ï¼Œæœ‰æ•ˆæ高了代ç†æ¨¡åž‹çš„准确性;3.考虑多ä¿çœŸæ ·æœ¬çš„相关性和采样æˆæœ¬çš„学习函数能自适应地确定新样本的ä½ç½®å’Œä¿çœŸåº¦ï¼›4.当学习函数选择高ä¿çœŸæ ·æœ¬æ—¶ï¼Œé€šè¿‡æž„造残差模型生æˆåµŒå¥—的低ä¿çœŸåº¦æ ·æœ¬å¯å‡å°‘低ä¿çœŸåº¦æ¨¡åž‹çš„调用次数。

关键è¯ç»„:å¯é æ€§åˆ†æžï¼›å¤šä¿çœŸä»£ç†æ¨¡åž‹ï¼›ä¸»åŠ¨å­¦ä¹ ï¼›éžçº¿æ€§ï¼›æ®‹å·®æ¨¡åž‹


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DOI:

10.1631/FITEE.2300340

CLC number:

TN29

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On-line Access:

2024-08-27

Received:

2023-10-17

Revision Accepted:

2024-05-08

Crosschecked:

2023-10-08

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