{"title":"Cryogenic Controller for Electrostatically Controlled Quantum Dots in 22-nm Quantum SoC","authors":"Robert Bogdan Staszewski;Ali Esmailiyan;Hongying Wang;Eugene Koskin;Panagiotis Giounanlis;Xutong Wu;Anna Koziol;Andrii Sokolov;Imran Bashir;Mike Asker;Dirk Leipold;Reza Nikandish;Teerachot Siriburanon;Elena Blokhina","doi":"10.1109/OJSSCS.2022.3213528","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3213528","url":null,"abstract":"We present a fully integrated cryogenic controller for electrostatically controlled quantum dots (QDs) implemented in a commercial 22-nm fully depleted silicon-on-insulator CMOS process and operating in a quantum regime. The QDs are realized in local well areas of transistors separated by tunnel barriers controlled by voltages applied to gate terminals. The QD arrays (QDA) are co-located with the control circuitry inside each quantum experiment cell, with a total of 28 of such cells comprising this system-on-chip (SoC). The QDA structure is controlled by small capacitive digital-to-analog converters (CDACs) and its quantum state is measured by a single-electron detector. The SoC operates at a cryogenic temperature of 3.4K. The occupied area of each QDA is \u0000<inline-formula> <tex-math>$0.7 times 0.4mu text{m}^2$ </tex-math></inline-formula>\u0000, while each QD occupies only \u0000<inline-formula> <tex-math>$20 times 80 text{nm}^2$ </tex-math></inline-formula>\u0000. The low power and miniaturized area of these circuits are an important step on the way for integration of a large quantum core with millions of QDs, required for practical quantum computers. The performance and functionality of the CDAC are validated in a loop-back mode with the detector sensing the CDAC-compelled electron tunneling from the quantum point contact (QPC) node into the quantum structure. The position of the injected charge inside the QDA is intended to be controlled through the CDAC codes and programmable pulse width. Quantum effects are shown by an experimental characterization of charge injection and quantization into the QDA consisting of three coupled QDs. The charge can be transferred to a QD and sensed at the QPC, and this process is controlled by the relevant voltages and CDACs.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"103-121"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09915422.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Shi;Jiaxin Liu;Abhishek Mukherjee;Xiangxing Yang;Xiyuan Tang;Linxiao Shen;Wenda Zhao;Nan Sun
{"title":"A 3.7-mW 12.5-MHz 81-dB SNDR 4th-Order Continuous-Time DSM With Single-OTA and 2nd-Order Noise-Shaping SAR","authors":"Wei Shi;Jiaxin Liu;Abhishek Mukherjee;Xiangxing Yang;Xiyuan Tang;Linxiao Shen;Wenda Zhao;Nan Sun","doi":"10.1109/OJSSCS.2022.3212333","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3212333","url":null,"abstract":"This article presents a hybrid 4th-order delta–sigma modulator (DSM). It combines a continuous-time (CT) loop filter and a discrete-time (DT) passive 2nd-order noise-shaping SAR (NS-SAR). Since the 2nd-order NS-SAR is robust against PVT variation, the stability of this 4th-order DSM is similar to that of a 2nd-order CT-DSM. The CT loop filter is based on single-amplifier–biquad (SAB) structure. As a result, only one OTA is used to achieve 4th-order noise shaping, leading to a high power efficiency. Moreover, this work implements both excess-loop delay (ELD) compensation and an input feedforward path inside the NS-SAR in the charge domain, further reducing the circuit complexity and the OTA power. Overall, this work achieves 81-dB SNDR over 12.5 MHz with 3.7-mW power, leading to a Schreier FoM of 176 dB.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"122-134"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09913224.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Introduction to High Sample Rate Nyquist Analog-to-Digital Converters","authors":"Gabriele Manganaro","doi":"10.1109/OJSSCS.2022.3212028","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3212028","url":null,"abstract":"Increasingly wider band analog signals found in multiple information and communication technology applications, requiring real-time digital signal processing, demand analog-to-digital converters with ever higher sample rate. Several innovative techniques, from the circuit level, to architecture and algorithms, have enabled remarkable breakthroughs in a relatively short span of time. This overview article aims to introduce this topic and to point to some of the most notable results, while also highlighting open problems and engineering trends.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"82-102"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09911689.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low-Power SAR ADCs: Basic Techniques and Trends","authors":"Pieter Harpe","doi":"10.1109/OJSSCS.2022.3211482","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3211482","url":null,"abstract":"With the advent of small, battery-powered devices, power efficiency has become of paramount importance. For analog-to-digital converters (ADCs), the successive approximation register (SAR) architecture plays a prominent role thanks to its ability to combine power efficiency with a simple architecture, a broad application scope, and technology portability. In this review article, the basic design challenges for low-power SAR ADCs are summarized and several design techniques are illustrated. Furthermore, the limitations of SAR ADCs are outlined and hybrid architecture trends, such as noise-shaping SAR ADCs and pipelined SAR ADCs, are briefly introduced and clarified with examples.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"73-81"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09908164.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training","authors":"Angelo Garofalo;Yvan Tortorella;Matteo Perotti;Luca Valente;Alessandro Nadalini;Luca Benini;Davide Rossi;Francesco Conti","doi":"10.1109/OJSSCS.2022.3210082","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3210082","url":null,"abstract":"On-chip deep neural network (DNN) inference and training at the Extreme-Edge (TinyML) impose strict latency, throughput, accuracy, and flexibility requirements. Heterogeneous clusters are promising solutions to meet the challenge, combining the flexibility of DSP-enhanced cores with the performance and energy boost of dedicated accelerators. We present DARKSIDE, a System-on-Chip with a heterogeneous cluster of eight RISC-V cores enhanced with 2-b to 32-b mixed-precision integer arithmetic. To boost the performance and efficiency on key compute-intensive DNN kernels, the cluster is enriched with three digital accelerators: 1) a specialized engine for low-data-reuse depthwise convolution kernels (up to 30 MAC/cycle); 2) a minimal overhead datamover to marshal 1–32-b data on-the-fly; and 3) a 16-b floating-point tensor product engine (TPE) for tiled matrix-multiplication acceleration. DARKSIDE is implemented in 65-nm CMOS technology. The cluster achieves a peak integer performance of 65 GOPS and a peak efficiency of 835 GOPS/W when working on 2-b integer DNN kernels. When targeting floating-point tensor operations, the TPE provides up to 18.2 GFLOPS of performance or 300 GFLOPS/W of efficiency—enough to enable on-chip floating-point training at competitive speed coupled with ultralow power quantized inference.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"231-243"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09903915.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Auto-Reconfigurable Multi-Output Regulating Switched-Capacitor DC–DC Converter for Wireless Power Reception and Distribution in Multi-Unit Implantable Devices","authors":"Unbong Lee;Wanyeong Jung;Sohmyung Ha;Minkyu Je","doi":"10.1109/OJSSCS.2022.3202145","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3202145","url":null,"abstract":"An automatically reconfigurable switched-capacitor DC-DC converter with multiple regulated outputs is presented for wireless-powered multi-unit implantable medical devices (IMDs). In such devices, the main controller unit is powered wirelessly and provides supply voltages to the circuits of the main unit as well as multiple connected sub-units. The proposed DC-DC converter simultaneously generates two regulated voltages for the main unit and two unregulated voltages for the sub-units, which have on-site low-dropout regulators. The converter consists of i) an input-adaptive DC-DC conversion stage with two switched-capacitor (SC) DC-DC converters in series and ii) a regulating stage. In the DC-DC conversion stage, the proposed converter automatically reconfigures the conversion ratio and connection order of the two SC DC-DC converters and selects the output nodes by load selection switches depending on the input level. Thanks to these adaptive configurations, the proposed converter offers high conversion efficiencies over a wide input voltage range even with fewer flying capacitors required for the reconfigurable conversion ratios. Moreover, the selection switches are reused to regulate the output voltages to desired levels, minimizing the overhead for subsequent regulation. The IC fabricated in a 180-nm standard CMOS process achieves a conversion efficiency of 95.5% for the unregulated voltages and up to 77.4% for the regulated voltages over a wide input range of 1 V to 4 V with 0.74-mV output ripple for a load current of 20 mA, while providing four outputs (2 regulated, 2 unregulated).","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"3 ","pages":"65-75"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/10019316/09868089.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67861768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Broadband, High-Linearity Switches for Millimeter-Wave Mixers Using Scaled SOI CMOS","authors":"Cameron Hill;James F. Buckwalter","doi":"10.1109/OJSSCS.2022.3198040","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3198040","url":null,"abstract":"This work demonstrates new circuit techniques in distributed-stacked-complimentary (DiSCo) switches that enable picosecond switching speed in RF CMOS SOI switches. By using seriesstacked devices with optimized gate impedance and voltage swing, both high linearity and fast switching are possible. A theoretical analysis and design framework has been developed and verified through simulation and measurement through two broadband, high-linearity passive mixer designs, one optimized for linearity and the other for bandwidth, using a 45-nm SOI CMOS process. The mixers achieve \u0000<inline-formula> <tex-math>$P_{1dB}{s}$ </tex-math></inline-formula>\u0000 of 16-22 dBm with \u0000<inline-formula> <tex-math>$IIP3s$ </tex-math></inline-formula>\u0000 of 25-34 dBm across a bandwidth from 1 GHz up to 30 GHz. This performance exceeds prior SOI RF and microwave mixer performance by more than an order of magnitude and is comparable to III-V device technologies. The mixers include integrated local oscillator (LO) driving amplifiers for high efficiency operation and low total power consumption. DC power consumption ranges from 250 mW to 1 W for the LO driver. The integrated LO drivers demonstrate a pathway to on-chip LO generation with simplified matching to maximize LO power delivered to the input of the switch.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"61-72"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09854919.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Open Journal of the Solid-State Circuits Society Special Section on Imagers for 3D Vision","authors":"Edoardo Charbon","doi":"10.1109/OJSSCS.2022.3154425","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3154425","url":null,"abstract":"Depth perception has been and continues to be one of the fastest growing fields of research and development both in academia and industry. There is an abundance of applications requiring 3D vision, from automotive safety and self-driving vehicles to virtual/augmented reality (VR/AR), from high-end imaging to proximity sensing. With the explosion of automated package handling, semi-robotic delivery, and advanced driver-assistance systems (ADAS), the need to safely and accurately reconstruct the environment in 3D is also exploding, along with more demanding requirements for 3D vision cameras in terms of resolution, precision, and speed.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09737148.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luis A. Valenzuela;Yujie Xia;Aaron Maharry;Hector Andrade;Clint L. Schow;James F. Buckwalter
{"title":"A 50-GBaud QPSK Optical Receiver With a Phase/Frequency Detector for Energy-Efficient Intra-Data Center Interconnects","authors":"Luis A. Valenzuela;Yujie Xia;Aaron Maharry;Hector Andrade;Clint L. Schow;James F. Buckwalter","doi":"10.1109/OJSSCS.2022.3150291","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3150291","url":null,"abstract":"This paper describes the energy-efficient realization of a QPSK optical receiver (CoRX) for short-reach intra-datacenter interconnects based on analog coherent detection. The CoRX comprises inphase and quadrature channels for each polarization and a high-speed phase-frequency detector (PFD) that provides feedback to stabilize an optical local oscillator (LO) and maintain coherence with the received optical signal. Each receive (RX) channel consists of a transimpedance amplifier (TIA) based on a Cherry-Hooper emitter follower (CHEF). The electronic RX is implemented in a 130-nm SiGe HBT technology (\u0000<inline-formula> <tex-math>$f_{T} = 300$ </tex-math></inline-formula>\u0000 GHz), consumes 534 mW of DC power for a total electrical RX energy efficiency of 5.34 pJ/bit, and occupies 2.8 \u0000<inline-formula> <tex-math>$mm^{2}$ </tex-math></inline-formula>\u0000. Electrical characterization of the CoRX on an FR-4 PCB assembly demonstrates operation up to 60 GBaud with a bit error rate (BER) of less than 10\u0000<sup>−12</sup>\u0000. A co-packaged optical/electrical CoRX assembly with a silicon photonic receiver is characterized using a commercial-off-the-shelf quadrature phase-shift keying (QPSK) transmitter for constellations up to 50 GBaud (100 Gbps) at BER below KP4-FEC (\u0000<inline-formula> <tex-math>$2.2times 10^{-4}$ </tex-math></inline-formula>\u0000).","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"50-60"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/09708425.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67868118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensor Interfaces Meeting 2022","authors":"","doi":"10.1109/OJSSCS.2022.3164490","DOIUrl":"https://doi.org/10.1109/OJSSCS.2022.3164490","url":null,"abstract":"","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"2 ","pages":"302-302"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/9733783/10094270.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50327145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}