全部论文

Papers 2008–2026

共 3875 篇 ISSCC 论文，按年份倒序排列

年份 Year
2026 2472025 2422024 2222023 2002022 1672021 1952020 2022019 1812018 2052017 2082016 2002015 1912014 2032013 2102012 1882011 1962010 2102009 1802008 228
领域 Topic
RF & Wireless 362Power Management 302Wireline I/O 300Wireless 293Data Converters 279Digital Processors 268Memory 266AI / ML 231Digital Circuits 220Medical & Bio 211Image Sensors 184Analog Circuits 169mm-Wave 138Clocking & PLLs 127Sensors 100Plenary 63Hardware Security 36Quantum & Photonics 29Industry Highlights 7
顶级机构
University of California 101Delft University of Technology 73University of Macau 58KAIST 51Massachusetts Institute of Tec 48Tsinghua University 39National Taiwan University 38University of Michigan 37Georgia Institute of Technolog 35Columbia University 28Hong Kong University of Scienc 24MediaTek 23
ISSCC 2024 Session 33 AI / ML
Closed-Loop 100-Channel Highly-Scalable Retinal Implant with 1.02μW Analog ED-Based Adaptive-Threshold Spike Detection and Poisson-Coded Temporally Distributed Optogenetic Stimulation
Tayebeh Yousefi, Georg Zoidl, Hossein Kassiri
Intraocular stimulators have demonstrated promise in treating patients with retinal degeneration (e.g., age-related macular degeneration) by restoring visual input to the compromised retina. This is done by capturing ima
York University, Toronto, Canada
ISSCC 2024 Session 33 AI / ML
A Multi-Loop Neuromodulation Chipset Network with Frequency-Interleaving Front-End and Explainable AI for Memory Studies in Freely Behaving Monkeys
Yuhan Hou1, Yi Zhu1, Xiao Wu1, Yinfei Li1, Timothy Lucas2, Andrew Richardson3, Xilin Liu1
of dementia, affects over 30 million people worldwide and accounts for more than 1% of the global GDP [1]. Given that age is a significant risk factor, the number of AD patients is projected to double in the next two deca
University of Toronto, Toronto, Canada Ohio State University, Columbus
ISSCC 2024 Session 33 AI / ML
MiBMI: A 192/512-Channel 2.46mm2 Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes
Mohammad Ali Shaeri1,2, Uisub Shin1,2,3, Amitabh Yadav1,2,
Fribourg, Switzerland 1 2 Recently, cutting-edge brain-machine interfaces (BMIs) have revealed the potential of decoders such as recurrent neural networks (RNNs) in predicting attempted handwriting
Riccardo Caramellino4, Gregor Rainer1,4, Mahsa Shoaran1,2 EPFL, Lausan
ISSCC 2024 Session 33 AI / ML
A Sub-1µJ/class Headset-Integrated Mind Imagery and Control SoC for VR/MR Applications with Teacher-Student CNN and General-Purpose Instruction Set Architecture
Zhiwei Zhong*, Yijie Wei*, Lance Christopher Go, Jie Gu
*Equally Credited Authors (ECAs) Virtual Reality (VR) and Mixed Reality (MR) systems, e.g., Meta Quest and Apple Vision Pro, have recently gained significant interest in consumer electronics, creating a new wave of develo
Northwestern University, Evanston, IL
ISSCC 2024 Session 33 AI / ML
A Hybrid Recording System with 10kHz-BW 630mVPP 84.6dB-SNDR 173.3dB-FOMSNDR and 5kHz-BW 114dB-DR for Simultaneous ExG and Biocurrent Acquisition
Taeryoung Seol, Geunha Kim, Sehwan Lee, Samhwan Kim, Dongwook Kim,
Jeongyoon Wie, Yeonjae Shin, Hongki Kang, Jae Eun Jang, Arup K. George, Junghyup Lee Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea As the precise acquisition of continuous ExG (ENG, ECG, etc.) and bio
ISSCC 2024 Session 33 AI / ML
A 2.7ps-ToF-Resolution and 12.5mW Frequency-domain NIRS Readout IC with Dynamic Light Sensing Frontend and Cross-Coupling-Free Inter-Stabilized Data Converter
Zhouchen Ma1, Yuxiang Lin1, Cheng Chen1, Xiang’ao Qi1, Yongfu Li1,
United Imaging Microelectronics Technology, Shanghai, China 4 Shanghai Mental Health Center, Shanghai, China 1 2 The non-invasive quantification of metabolite concentration is of significant importance in the fields of medi
Kea-Tiong Tang2, Fa Wang3, Tianhong Zhang4, Guoxing Wang1, Jian Zhao1
ISSCC 2024 Session 33 AI / ML
A High-Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure-Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection
Jiahao Liu1, Xiao Liu1, Xu Wang1, Ziyi Xie1, Zirui Zhong1, Jiajing Fan1, Hui Qiu1,
Yiming Xu1, Huajing Qin1, Yu Long1, Yuhong Zhou2, Zixuan Shen3, Liang Zhou1, Liang Chang1, Shanshan Liu1, Shuisheng Lin1, Chao Wang3, Jun Zhou1 University of Electronic Science and Technology of China, Chengdu, China Wes
ISSCC 2024 Session 32 AI / ML
An Ultra-Compact 28GHz Doherty Power Amplifier with an Asymmetrically-Coupled-Transformer Output Combiner
Edward Liu1,2, Hua Wang1
Georgia Institute of Technology, Atlanta, GA 1 2 Mm-wave wireless communication and sensing heavily rely on phased arrays to compensate for high path losses and meet link-budget targets. Recent mm-wave arrays have grown
ETH Zurich, Zurich, Switzerland
ISSCC 2024 Session 32 Power Management
A 27.8-to-38.7GHz Load-Modulated Balanced Power Amplifier with Scalable 7-to-1 Load-Modulated Power-Combine Network Achieving 27.2dBm Output Power and 28.8%/23.2%/16.3%/11.9% Peak/6/9/12dB Back-Off Efficiency
Wei Zhu1, Jiazhi Ying1, Long Chen2, Jian Zhang2, Guanshen Lv2, Xiangjie Yi2,
demand for multi-Gb/s data-rates has accelerated the rapid development and standardization of the 5G technology, particularly in the mm-wave bands [1-11]. With 5G, there is a significant anticipation for the widespread ut
Zhiqiang Zhao1, Zunxiang Wang1, Yan Wang2, Wenhua Chen2, Houjun Sun1 B
ISSCC 2024 Session 32 Power Management
A 76-to-81GHz Direct-Digital 7b 14GS/s Double-Balanced I/Q Mixing-DAC Radar-Waveform Synthesizer
Marios Neofytou1,2, Kostas Doris1,2, Marcello Ganzerli1, Maarten Lont1, Georgi I. Radulov2
require virtual MIMO antenna arrays with hundreds of elements. To operate such arrays without compromising range and velocity resolution and to have a sufficient SNR for a longrange operation, FMCW MIMO radars require fas
NXP Semiconductors, Eindhoven, The Netherlands Eindhoven University of
ISSCC 2024 Session 32 Power Management
E-band (71-to-86GHz) GaN Power Amplifier with 4.37W Output Power and 18.5% PAE for 5G Backhaul
Bharath Cimbili1,2,3, Mingquan Bao2, Christian Friesicke1, Rüdiger Quay1,3
Ericsson, Gothenburg, Sweden 3 University of Freiburg, Freiburg, Germany 1 2 Wireless data traffic has experienced explosive growth in recent years, primarily due to the commercialization of 5G networks. To keep up with t
Fraunhofer IAF, Freiburg, Germany
ISSCC 2024 Session 32 Power Management
A 67.8-to-108.2GHz Power Amplifier with a Three-CoupledLine-Based Complementary-Gain-Boosting Technique Achieving 442GHz GBW and 23.1% peak PAE gain response of the input stage is also boosted at a high frequency to further compensate for the gain slope of the power stage and for enhancing the total bandwidth.
In practice, the hybrid TCL network is wound into a compact footprint as shown in Fig., 32.4.3 to save the chip area.
Weiping Wu, Xun Bao, Shulan Chen, Yan Wang, Lei Zhang The schematic of the prototype PA using the proposed TCL-based CGB technique is shown in Fig. 32.4.3. The PA consists of a CS output stage, a TCL-based CGB driver sta
ISSCC 2024 Session 32 Power Management
A Load-Variation-Tolerant Doherty Power Amplifier with Dual-Adaptive-Bias Scheme for 5G Handsets
Shohei Imai, Hideyuki Sato, Kenji Mukai, Hiroshi Okabe
In modern mobile communications, a high peak-to-average power ratio (PAPR) and a broadband bandwidth are essential for realizing high data-rate communication links. However, a high amplifier efficiency is crucial for a lon
Murata, Kyoto, Japan
ISSCC 2024 Session 32 Power Management
A 24.25-to-29.5GHz Extremely Compact Doherty Power Amplifier with Differential-Breaking Phase Offset Achieving 23.7% PAEavg for 5G Base-Station Transceivers
Hansik Oh, Seungwon Park, Jooseok Lee, Seungjae Baek, Joonho Jung,
Taewan Kim, Jinhyun Kim, Woojae Lee, Jae-hong Park, Kihyun Kim, Dong-hyun Lee, Sangho Lee, Jeong Ho Lee, Ji Hoon Kim, Younghwan Kim, Sangyong Park, Bohee Suh, Soyoung Oh, Dongsoo Lee, Sehyug Jeon, Juho Son, Sung-gi Yang
ISSCC 2024 Session 32 Power Management
A Compact Broadband VSWR-Resilient True-Power-and-Gain Sensor with Dynamic-Range Compensation for Phased-Array Applications
Edward Liu*1, David Munzer*2, Jeongseok Lee2, Hua Wang1
Georgia Institute of Technology, Atlanta, GA *Equally Credited Authors (ECAs) 1 2 With the rapid growth of mm-wave wireless technologies, phased arrays are essential to meet the stringent link-budget requirements under p
ETH Zurich, Zurich, Switzerland
ISSCC 2024 Session 32 Power Management
A 47GHz 4-way Doherty PA with 23.7dBm P1dB and 21.7% / 13.1% PAE at 6 / 12dB Back-off Supporting 2000MHz 5G NR 64-QAM OFDM
Xiaohan Zhang*, Hao Guo*, Taiyun Chi
*Equally Credited Authors (ECAs) As mm-wave 5G continues to advance in the 28 and 38GHz bands (n257 to n261), the ever-increasing demand for data-rates is also driving 5G expansion to higher frequencies, such as the 47GH
Rice University, Houston, TX
ISSCC 2024 Session 31 Power Management
An 85-264Vac to 3-4.2Vdc 1.05W Capacitive Power Converter with Idle Power Reduction and 4-Phase 1/10X SC Converter Achieving 5.11mW Quiescent Power and 78.2% Peak Efficiency
Gang Liu1,2, Han Wu1, Chen Hu1, Cheng Huang3, Xun Liu2, Junmin Jiang1
Chinese University of Hong Kong, Shenzhen, China 3 Iowa State University, Ames, IA 1 2 Smart homes and smart buildings require numerous offline devices such as IoT nodes, object sensors, smoke detectors, etc. Those device
Southern University of Science and Technology, Shenzhen, China
ISSCC 2024 Session 31 Power Management
A 11.7W 9mV/A-Cross-Regulation Single-Inductor TripleOutput Buck Converter Using Unordered Power-Distributive Control for a 2A Load Transient
Baochuang Wang, Xiaonan Wu, Lin Cheng
Single-inductor multiple-output (SIMO) converters, capable of providing multiple outputs from just one inductor, are highly favorable in cost- and size-constrained applications such as mobile devices. However, they inher
University of Science and Technology of China, Hefei, China
ISSCC 2024 Session 31 Power Management
A 3.6W 16V-Output 180ns-Response-Time 94%-Efficiency SC Sigma Converter with Output Impedance Compensation and Ripple Mitigation for LiDAR Driver Applications
Chen Hu*1, Xinran Huang*1, Xun Liu2, Sijun Du3, Xiaosen Liu4, Junmin Jiang1
Chinese University of Hong Kong, Shenzhen, China 3 Delft University of Technology, Delft, The Netherlands 4 Tsinghua University, Beijing, China *Equally Credited Authors (ECAs) 1 2 The rapid adoption of light detection a
Southern University of Science and Technology, Shenzhen, China
ISSCC 2024 Session 31 Power Management
A SIDO/DISO VCF-Step-Reconfigurable Continuously ScalableConversion-Ratio SC Converter Achieving 91.4%/92.6% Peak Efficiency and Almost-lossless Channel Switching
Yuanfei Wang1, Mo Huang1, Rui Paulo Martins1,2, Yan Lu1
University of Lisboa, Lisbon, Portugal 1 2 In an energy harvesting (EH) system for the internet of things (IoT), the input voltage VIN may vary within a wide range, e.g., from 0.3 to 1.8V from a solar cell, while the bat
University of Macau, Macao, China
ISSCC 2024 Session 31 Power Management
% Efficiency 1200V-to-48V LLC Converter with CC/CV Mode Charging Compliant with EVSE Level 1
Tz-Wun Wang1, Sheng-Hsi Hung1, Po-Jui Chiu1, Chi-Yu Chen1, Chang-Lin Go1,
Yu-Ting Huang1, Xiao-Quan Wu1, Ke-Horng Chen1, Kuo-Lin Zeng1,2, Ying-Hsi Lin3, Shian-Ru Lin3, Tsung-Yen Tsai3 National Yang Ming Chiao Tung University, Hsinchu, Taiwan Chip-GaN Power Semiconductor, Hsinchu, Taiwan 3 Real
ISSCC 2024 Session 31 Power Management
A 950ns 0.5-to-5.5V 5G NR RF PA Supply Modulator with Floating Capacitor Control for Symbol Power Tracking
Ik-Hwan Kim, Jeong-Il Seo, Younghwan Choo, Seungchan Park, Jaeyeol Han,
in which the output power of the RF power amplifier (RF PA) changes rapidly, the fast dynamic voltage scaling (DVS) is required in the supply modulator that provides voltage to the RF PA. In 3GPP requirements, the user eq
Woosik Kim, Sungyoub Jung, Taehyuk Ko, Dongsu Kim, Jongwoo Lee, Sungun
ISSCC 2024 Session 31 Power Management
A Ripple-Less Buck Converter with Sub -21.94dB EVM for 5G Low Earth Orbit Application
Yi-Hsiang Kao1, Jie-Lin Wu1, Wei-Cheng Huang1, Hui-Hsuan Chang1,
Hsing-Yen Tsai1, Rong-Bin Guo1, Ke-Horng Chen1, Kuo-Lin Zeng1,2, Ying-Hsi Lin3, Shian-Ru Lin3, Tsung-Yen Tsai3 National Yang Ming Chiao Tung University, Hsinchu, Taiwan Chip-GaN Power Semiconductor, Hsinchu, Taiwan 3 Rea
ISSCC 2024 Session 31 Power Management
A Capacitor-Based Bias-Flip Rectifier with Electrostatic Charge Boosting for Triboelectric Energy Harvesting Achieving Auto-MPPT at Breakdown Voltage and 14× Power Extraction Improvement
Wenyu Peng, Xinling Yue, Lukasz Pakula, Sijun Du
With the advantages of flexibility and power density, triboelectric nanogenerators (TENGs) are promising in harvesting ambient mechanical energy via triboelectrification and electrostatic induction to power lower-power Int
Delft University of Technology, Delft, The Netherlands
ISSCC 2024 Session 31 Power Management
An 83.4%-Peak-Efficiency Envelope-Tracking Supply Modulator Using a Class-G Linear Amplifier and a Single-Inductor Dual-Input-Dual-Output Converter for 200MHz Bandwidth 5G New Radio RF Applications
Changjin Chen, Ximing Li, Rui Hu, Lin Cheng
Envelope tracking (ET) significantly improves the efficiency of RF power amplifiers (PAs) in mobile handsets. Most ET supply modulators (ETSMs) adopt a hybrid topology, combining a wide-bandwidth low-efficiency linear amplifi
University of Science and Technology of China, Hefei, China
ISSCC 2024 Session 30 AI / ML
Vecim: A 289.13GOPS/W RISC-V Vector Co-Processor with Compute-in-Memory Vector Register File for Efficient High-Performance Computing
Yipeng Wang, Mengtian Yang, Chieh-pu Lo, Jaydeep P. Kulkarni
Vector processors have re-emerged in high-performance computing and flagship mobile SoC designs for their improved programmability, appealing power efficiency over multicore processors and area efficiency over GPUs [1]. For
University of Texas, Austin, TX
ISSCC 2024 Session 30 Digital Circuits
A Variation-Tolerant In-eDRAM Continuous-Time Ising Machine Featuring 15-Level Coefficients and Leaked Negative-Feedback Annealing
Jiahao Song*, Zihan Wu*, Xiyuan Tang, Bocheng Xu, Haoyang Luo,
in various real-world decision-making and planning problems. However, most CO problems (COPs) are NP-hard, demanding substantial computational resources with conventional computers. The Ising machine is promising in addr
Youming Yang, Yuan Wang, Runsheng Wang, Ru Huang Peking University, Be
ISSCC 2024 Session 30 Digital Circuits
A Fully Integrated Annealing Processor for Large-Scale Autonomous Navigation Optimization selectors arranged in two stages, reducing the critical path by 85% compared to the design with a 1024b selector. An additional LFSR is included to ensure that the resulting distribution reaches uniformity.
Yi-Chen Chu, Yu-Cheng Lin, Yu-Chen Lo, Chia-Hsiang Yang, Figure 30.4.5 shows the design details of the Clustering Unit a
In this work, the sizes of the clusters can be balanced by limiting the number of stations in a cluster. Memory access to the locations of stations can be reduced by mapping computations for clustering in a 2D array onto
ISSCC 2024 Session 30 Digital Circuits
VIP-Sat: A Boolean Satisfiability Solver Featuring 5×12 Variable In-Memory Processing Elements with 98% Solvability for 50-Variables 218-Clauses 3-SAT Problems
Chaeyun Shim, Jooyoung Bae, Bongjin Kim
Boolean satisfiability (SAT), a non-deterministic polynomial (NP)-complete problem, has gained increasing attention with applications in artificial intelligence, machine learning, electronic design automation, and VLSI tes
University of California, Santa Barbara, CA
ISSCC 2024 Session 30 AI / ML
A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity-Adaptive In-Memory Computing
Ying Liu*1, Yufei Ma*1, Ninghui Shang1, Tianhao Zhao2, Peiyu Chen1, Meng Wu1,
Science and Technology University, Beijing, China *Equally Credited Authors (ECA) 1 2 Recently, brain-inspired spiking neural networks (SNNs) have demonstrated tremendous improvement in energy efficiency (EE) and low powe
Jiayoon Ru1, Tianyu Jia1, Le Ye1, Zhixuan Wang3, Ru Huang1 Peking Univ
ISSCC 2024 Session 30 Digital Circuits
A 40nm VLIW Edge Accelerator with 5MB of 0.256pJ/b RRAM and a Localization Solver for Bristle Robot Surveillance
Samuel D. Spetalnick*1, Ashwin Sanjay Lele*1, Brian Crafton1, Muya Chang1,
Sigang Ryu1, Jong-Hyeok Yoon2, Zhijian Hao1, Azadeh Ansari1, Win-San Khwa3, Yu-Der Chih4, Meng-Fan Chang3, Arijit Raychowdhury1 Georgia Institute of Technology, Atlanta, GA Daegu Gyeongbuk Institute of Science and Techno
ISSCC 2024 Session 3 Analog Circuits
A 1.2V High-Voltage-Tolerant Bootstrapped Analog Sampler in 12-bit SAR ADC Using 3nm GAA’s 0.7V Thin-Gate-Oxide Transistor
Sangheon Lee, Jinwoo Park, Junsang Park, Sangkyu Lee, Jungho Lee,
process utilizing the Multi-Bridge-Channel-FET (MBCFET) with nanosheet technology enhances performance, power efficiency, and area (PPA) benefits by large effective channel width and enhanced design flexibility compared to
Youngjae Cho, Michael Choi, Jongshin Shin Samsung Electronics, Hwaseon
ISSCC 2024 Session 3 Analog Circuits
A 0.65V 900μm2 BEoL RC-Based Temperature Sensor with ±1°C Inaccuracy from -25°C to 125°C
Bei-Shing Lien*, Szu Lin Liu*, Wei-Lin Lai, Yi-Chen Lu, Yung-Chow Peng, Kenny Cheng-Hsiang Hsieh
capacity and prevent chip overheating, it is essential to minimize the gap between on-die thermal measurements and the actual temperature at hotspots. This relies primarily on the inherent accuracy of the temperature sen
TSMC, Hsinchu, Taiwan *Equally Credited Authors (ECAs) To maintain hig
ISSCC 2024 Session 3 Analog Circuits
A β-Compensated NPN-Based Temperature Sensor with ±0.1°C (3σ) Inaccuracy from -55°C to 125°C and a 200fJ∙K2 Resolution FoM
Nandor G. Toth, Kofi A. A. Makinwa
The two key performance metrics of BJT-based temperature sensors are their accuracy and energy efficiency. Although NPN-based temperature sensors achieve the best energy efficiency [1], they have not been able to combine t
Delft University of Technology, Delft, The Netherlands
ISSCC 2024 Session 3 Analog Circuits
An Amplifier-Less CMOS Potentiostat IC Consuming 3.7nW Power all over 129.5dB Dynamic Range for Electrochemical Biosensing
Muhammad Abrar Akram1, Aida Aberra1, Soon-Jae Kweon2, Sohmyung Ha1,3
The Catholic University of Korea, Bucheon, Korea 3 New York University, New York, NY 1 2 Ultra-low-power potentiostats, which perform high-precision current measurements for electrochemical biosensing, hold paramount imp
New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
ISSCC 2024 Session 3 Analog Circuits
A 4mW 45pT/√Hz Magnetoimpedance-Based ΔΣ Magnetometer with Background Gain Calibration and Short-Time CDS Techniques
Ippei Akita1, Shunichi Tatematsu2
Aichi Steel, Tokai, Japan 1 2 Low-noise, low-power digital-output magnetometers are essential for various applications, including security-gate systems, non-destructive inspections, and geomagnetic and biomagnetic measur
AIST, Tsukuba, Japan
ISSCC 2024 Session 3 Analog Circuits
A 14b 98Hz-to-5.9kHz 1.7-to-50.8μW BW/Power Scalable Sensor Interface with a Dynamic Bandgap Reference and an Untrimmed Gain Error of ±0.26% from -40°C to 125°C
Zhong Tang*1, Yuyan Liu*1, Pengpeng Chen1, Haining Wang1, Xiaopeng Yu2,
Kofi A. A. Makinwa3, Nick Nianxiong Tan1 Vango Technologies, Hangzhou, China Zhejiang University, Hangzhou, China 3 Delft University of Technology, Delft, The Netherlands *Equally Credited Authors (ECAS) 1 2 To accommodat
ISSCC 2024 Session 3 Analog Circuits
A 0.5V 6.14µW Trimming-Free Single-XO Dual-Output
Frequency Reference with [5.1nJ, 120µs] XO Startup and
[8.1nJ, 200µs] Successive-Approximation-Based RTC Calibration Rui Luo1, Ka-Meng Lei1, Rui P. Martins1,2, Pui-In Mak1 University of Macau, Macau, China, Instituto Superior Técnico/Universidade de Lisboa, Lisbon, Portugal
ISSCC 2024 Session 3 Analog Circuits
A 0.028mm2 32MHz RC Frequency Reference in 0.18μm CMOS with ±900ppm Inaccuracy from -40°C to 125°C and ±1600ppm Inaccuracy After Accelerated Aging
Sining Pan1, Yihang Cheng1, Guohua Wu1, Zhihua Wang1, Kofi A. A. Makinwa2, Huaqiang Wu1
small chip area [1-6], and so can potentially replace bulky crystal- or MEMS-based frequency references in cost-sensitive IoT applications. However, due to the large and nonlinear temperature dependence of on-chip resist
Tsinghua University, Beijing, China 2 Delft University of Technology,
ISSCC 2024 Session 3 Analog Circuits
A 0.69/0.58-PEF 1.6nW/24nW Capacitively Coupled Chopper Instrumentation Amplifier with an Input-Boosted First Stage in 22nm/180nm CMOS
Xinhang Xu*1, Siyuan Ye*1, Yaohui Luan1, Jihang Gao1, Jie Li1, Jiajia Cui1,
Information Technology of Peking University, Hangzhou, China *Equally Credited Authors (ECAs) 1 2 The front-end amplifier typically determines the noise level of a sensor system. Therefore, a highly power-efficient amplifie
Hao Zhang2, Ru Huang1, Linxiao Shen1, Le Ye1,3 Peking University, Beij
ISSCC 2024 Session 3 Analog Circuits
A PVT-Insensitive Sub-Ranging Current Reference Achieving 11.4ppm/°C from -20°C to 125°C
Pangi Park1, Junghyup Lee2, SeongHwan Cho1
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea 1 2 Improving the temperature stability of the reference current (IREF) is essential for the reliable operation of precision electronics for various appli
Korea Advanced Institute of Science and Technology, Daejeon, Korea
ISSCC 2024 Session 29 Quantum & Photonics
A Portable 14GHz Dual-Mode Pulse and Continuous-Wave Electron Paramagnetic Resonance Spectrometer Using a Subharmonic Direct Conversion Receiver
Jui-Hung Sun, Michella Rustom, Thanh Dat Nguyen, Jaideep Singh, Peter Qin, Constantine Sideris
University of Southern California, Los Angeles, CA Electron paramagnetic resonance (EPR) is a powerful spectroscopic technique for direct detection and characterization of free radicals, with high sensitivity and specific
ISSCC 2024 Session 29 Quantum & Photonics
A Cryo-CMOS Quantum Computing Unit Interface Chipset in 28nm Bulk CMOS with Phase-Detection Based Readout and Phase-Shifter Based Pulse Generation
Yanshu Guo1,2, Qichun Liu3, Wenqiang Huang1, Yaoyu Li1, Tian Tian1, Nan Wu1,
Beijing Academy of Quantum Information Sciences, Beijing, China 1 2 Cryogenic CMOS (Cryo-CMOS) ASICs have drawn increasing attention with great potential in scaling down the quantum computing (QC) platform. Recently, sev
Siqi Zhang1, Tiefu Li1,3, Zhihua Wang1, Ning Deng1, Yuanjin Zheng2, Ha
ISSCC 2024 Session 29 Quantum & Photonics
A Cryo-CMOS Receiver with 15K Noise Temperature Achieving 9.8dB SNR in 10µs Integration Time for Spin Qubit Readout
Bagas Prabowo1,2, Oriol Pietx-Casas1,2, Mohammad Ali Montazerolghaem1,
Giordano Scappucci1,2, Lieven M. K. Vandersypen1,2, Fabio Sebastiano1,2, Masoud Babaie1,2 Delft University of Technology, Delft, The Netherlands QuTech, Delft, The Netherlands 1 2 Continuous rounds of quantum error corre
ISSCC 2024 Session 29 Quantum & Photonics
A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Color-Center-Based Quantum Computers
Luc Enthoven*1, Niels Fakkel*1, Hans Bartling2, Margriet van Riggelen2,
Kai-Niklas Schymik2, Jiwon Yun2, Eftychia Tsapanou Katranara2, René Vollmer2, Tim Taminiau2, Fabio Sebastiano**1, Masoud Babaie**1 Delft University of Technology, Delft, The Netherlands, 2QuTech, Delft, The Netherlands *
ISSCC 2024 Session 29 Quantum & Photonics
A 22nm FD-SOI <1.2mW/Active-Qubit AWG-Free Cryo-CMOS Controller for Fluxonium Qubits
Loïck Le Guevel1, Chen Wang1, Joseph C. Bardin1,2
Google Quantum AI, Goleta, CA 1 2 Superconducting quantum processors are among the most advanced quantum computing technologies. Systems based on these devices have enabled post-classical computation [1] and proof-of-con
University of Massachusetts, Amherst, MA
ISSCC 2024 Session 28 Power Management
A 94.1%-Efficiency Parallel-SC Hybrid Buck Converter Designed Using VCR-Aware Topology Optimizer for a 4.2A/mm2 Current-Density FoM
Hyunki Han, Jeong-Hyun Cho, Woojin Jang, Yousung Park, Jiho Lee, Hyun-Sik Kim
pervasive trend across multiple markets, including the sector for buck DC-DC converters. One of the cardinal challenges in achieving optimized power density is navigating the intrinsic trade-off between an inductor’s vol
Korea Advanced Institute of Science and Technology, Daejeon, Korea Inc
ISSCC 2024 Session 28 Power Management
A 12-28V to 0.6-1.8V Ratio-Regulatable Dickson SC Converter with Dual-Mode Phase Misalignment Operations Achieving 93.1% Efficiency and 6A Output
Qiaobo Ma1, Yang Jiang1, Huihua Li1, Xiongjie Zhang1, Man-Kay Law1,
Rui P. Martins1,2, Pui-In Mak1 University of Macau, Macau, China University of Lisboa, Lisbon, Portugal 1 2 The USB PD standard for powering portable computing devices is continually advancing. The Adjustable Voltage Sup
ISSCC 2024 Session 28 Power Management
A 12V-Input 1V-1.8V-Output 94.7%-Peak-Efficiency 685A/cm3Current-Density Hybrid DC-DC Converter with a Charge Converging Phase
Yichao Ji, Ji Jin, Lin Cheng
Large voltage-conversion-ratio (VCR) DC-DC converters (e.g. 12V to 1-to-1.8V) with high efficiency and high current density are essential for industrial and automotive applications. Conventional buck converters have to us
University of Science and Technology of China, Hefei, China
ISSCC 2024 Session 27 Wireless
A Wireless Power Transfer System with Up-to-27.9% Efficiency Improvement under Coupling Coefficient Ranging from 0.1 to 0.39 Based on Phase-Shift/Time-Constant Detection and Hybrid Transmission Power Control
Yutang Chen, Yuxuan Luo, Yifan Lin, Lei Shao, Dihu Chen, Jianping Guo
Wireless power transfer (WPT) is a convenient way to power the wearable/portable devices with water/dusty-proof requirement. The end-to-end (E2E) efficiency ηE2E is a key specification of WPT system. A compact and efficient
Sun Yat-Sen University, Guangzhou, China