Annealing

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Raisu: A Radiation-Tolerant Neuromorphic Imager With In-Pixel Self-Healing and Unified Spiking Processing for Spaceborne Vision

Raisu: A Radiation-Tolerant Neuromorphic Imager With In-Pixel Self-Healing and Unified Spiking Processing for Spaceborne Vision 150 150
Author(s): Quan Cheng, Qiufeng Li, Zhengke Yang, Zhen Kong, Gaoqiang Niu, Yuan Liang, Jiamin Li, Jeong Hoan Park, Wang Liao, Hiromitsu Awano, Takashi Sato, Longyang Lin, Masanori Hashimoto

Abstract:

Spaceborne imaging systems operate under severe radiation and energy constraints, where single-event effects (SEEs), total ionizing dose (TID), and displacement damage dose (DDD) critically degrade reliability and performance. This work presents a radiation-tolerant neuromorphic imager prototype featuring a fully spike-based neuromorphic vision architecture with in-pixel self-healing capability and an integrated …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 14
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3715724
Publisher: IEEE

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A 1.87-TELOPS/W 3-D Ising Machine for Accelerated Quantum Monte Carlo With Reconfigurability Using CMOS p-Bits

A 1.87-TELOPS/W 3-D Ising Machine for Accelerated Quantum Monte Carlo With Reconfigurability Using CMOS p-Bits 150 150
Author(s): Ming-Che Li, Archisman Ghosh, Risi Kumar Jaiswal, Supriyo Datta, Shreyas Sen

Abstract:

Qubit-based quantum annealing processors operate at ultra-low temperatures (15 mK) requiring enormous cooling energy. Consequently, there is a lot of interest in quantum Monte Carlo (QMC) algorithms that can be used to emulate quantum computing on classical machines. However, prior classical emulators implemented on CPUs, GPUs, or field-programmable gate arrays (FPGAs) …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3699984
Publisher: IEEE

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A 28-nm Digital Compute-in-Memory Ising Annealer With Asynchronous Random Number Generator for Traveling Salesman Problem

A 28-nm Digital Compute-in-Memory Ising Annealer With Asynchronous Random Number Generator for Traveling Salesman Problem 150 150
Author(s): Yuyao Kong, Haomei Liu, Vaidehi Garg, Shimeng Yu

Abstract:

This work presents a compact digital compute-in-memory (DCIM) Ising annealer targeting large-scale combinatorial optimization. A centroid-based weight mapping method combined with hierarchical clustering reduces the memory capacity required for traveling salesman problem (TSP) weights, enabling efficient mapping with limited on-chip storage. An asynchronous random number generator (ARNG) based on dual …

Published in: IEEE Solid-State Circuits Letters
Page(s): 1 – 4
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3639178
Publisher: IEEE

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FIMA: A Scalable Ferroelectric Compute-in-Memory Annealer for Accelerating Boolean Satisfiability

FIMA: A Scalable Ferroelectric Compute-in-Memory Annealer for Accelerating Boolean Satisfiability 150 150
Author(s): Mohammad Khairul Bashar, T. H. Pantha, Z. Li, M. Farasat, S. Datta, V. Narayanan, S. Dutta, N. Shukla

Abstract:

In-memory compute kernels present a promising approach for addressing data-centric workloads. However, their scalability—particularly for computationally intensive tasks solving combinatorial optimization problems such as Boolean satisfiability (SAT), which are inherently difficult to decompose—remains a significant challenge. In this work, we propose a ferroelectric nonvolatile memory (NVM)-based compute-in-memory …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 81 – 89
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3603942
Publisher: IEEE

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RXO-LDPC: A Physics-Inspired Relaxation Oscillator-Based Solver Leveraging Six-Body Spin Interactions for Soft Decoding of LDPC Codes

RXO-LDPC: A Physics-Inspired Relaxation Oscillator-Based Solver Leveraging Six-Body Spin Interactions for Soft Decoding of LDPC Codes 150 150
Author(s): Evangelos Dikopoulos, Luke Wormald, Ying-Tuan Hsu, Wei Tang, Po-Shao Chen, Zhengya Zhang, Michael P. Flynn

Abstract:

Physics-inspired computing harnesses continuous-time (CT) operation, massive parallelism, and direct compute load mapping to coupled CMOS-based spins to accelerate solving complex optimization problems. This work advances the field by introducing relaxation oscillator (RXO)-low-density parity check (LDPC), a combinatorial optimization problem (COP) engine that natively supports six-body spin interactions for …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 14
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3561780
Publisher: IEEE

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