Experimental research on low-noise and high-gain balanced detectors in mHz−MHz band

物理 跨阻放大器 放大器 量子极限 噪音(视频) 电阻器 探测器 光电子学 光电二极管 电气工程 光学 电压 运算放大器 量子 CMOS芯片 工程类 计算机科学 图像(数学) 量子力学 人工智能
作者
Jiahong Lu,Shi Shao-Ping,G. Li,Xuan Wang,LIN Yisong,Long Tian,Wei Li,Yajun Wang,Yaohui Zheng
出处
期刊:Chinese Physics [Science Press]
卷期号:74 (18): 189501-189501 被引量:1
标识
DOI:10.7498/aps.74.20250640
摘要

Balanced detector is a fundamental component for the accurately measuring quantum state fluctuations, especially quantum noise, which is crucial for future quantum-enhanced interferometric gravitational wave detectors utilizing squeezed light. By using a transimpedance amplifier (TIA) model core for balanced detection, a detailed theoretical and practical analysis is conducted on the electronic factors that affect the performance of the detector in the target ultra-low-frequency range. The TIA stage is meticulously designed using a high-performance integrated operational amplifier characterized by low offset voltage drift. In order to ensure the critical gain stability for ultra-low-frequency operation, this design adopts low temperature-drift metal foil resistors. Subsequent voltage amplification is achieved using a noninverting amplifier configuration to attain the necessary high electrical gain, while strictly managing overall electronic noise. By recognizing the criticality of common-mode noise rejection for quantum noise measurements, the photodiode (PD) nonlinear response compensation mechanism is analyzed and optimized. This is achieved through the innovative implementation of a differential fine-tuning circuit (DFTC) coupled with an adjustable bias voltage (ABV) compensation scheme. Experimental validation confirms the effectiveness of the optimized design. The compensation scheme utilizing DFTC and ABV successfully achieves a high common mode rejection ratio (CMRR) exceeding 75 dB@500 Hz. Crucially, the detector achieves an electronic noise spectral density of 3.5 × 10<sup>–5</sup> V/Hz<sup>1/2</sup> within the 1 mHz–1 Hz band, exceeding the requirements for laser intensity noise (1 × 10<sup>–4</sup> V/Hz<sup>1/2</sup>) in space-based gravitational wave detection. Furthermore, the detector demonstrates high gain capability and bandwidth: with an incident detection light power of 4 mW, the balanced detector achieves a gain of 20 dB maintained in a wide frequency range from 1 mHz to 1 MHz. This work presents the design, detailed analysis, and experimental realization of optimized balanced detectors specifically tailored for high-sensitivity measurements in the millihertz gravitational wave frequency band. The achieved low electronic noise base below 1 Hz and high CMRR meet the key requirements for future space-based gravitational wave detectors to detect squeezed states of light. This optimized balanced detector provides important components and technical support for the next-generation space-based gravitational wave detection and millihertz squeezed light characterization.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
liar完成签到,获得积分10
刚刚
852应助栗栖采纳,获得10
1秒前
wssy完成签到,获得积分10
2秒前
脑洞疼应助ws采纳,获得10
2秒前
2秒前
Ai_niyou发布了新的文献求助30
2秒前
科目三应助忧郁衬衫采纳,获得10
2秒前
cdercder应助hosokawa采纳,获得10
2秒前
3秒前
瑾L完成签到,获得积分10
3秒前
英勇的曼岚完成签到,获得积分20
3秒前
4秒前
4秒前
老年人完成签到,获得积分10
4秒前
4秒前
共享精神应助Banananan采纳,获得10
5秒前
11zys完成签到,获得积分10
5秒前
yyy完成签到,获得积分20
5秒前
5秒前
李爱国应助Kafka采纳,获得10
5秒前
斯文败类应助happyness采纳,获得10
5秒前
5秒前
5秒前
传奇3应助qinsu采纳,获得10
6秒前
小二郎应助科研通管家采纳,获得10
6秒前
CipherSage应助科研通管家采纳,获得10
6秒前
传奇3应助科研通管家采纳,获得10
7秒前
蔺亦丝完成签到,获得积分10
7秒前
7秒前
DOC_XIONG应助科研通管家采纳,获得10
7秒前
Hello应助xxx采纳,获得30
7秒前
7秒前
7秒前
Ava应助科研通管家采纳,获得10
7秒前
14999发布了新的文献求助10
7秒前
DOC_XIONG应助科研通管家采纳,获得10
7秒前
呵呵呵应助科研通管家采纳,获得20
7秒前
8秒前
8秒前
DOC_XIONG应助科研通管家采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Perfectionism in School 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7727778
求助须知:如何正确求助?哪些是违规求助? 9280272
关于积分的说明 20136527
捐赠科研通 7305423
什么是DOI,文献DOI怎么找? 3302580
关于科研通互助平台的介绍 2455803
邀请新用户注册赠送积分活动 2310745