:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Onizawa, Naoya, Hanyu, Takahiro
Format:	Preprint
Published:	2026
Subjects:	Emerging Technologies Machine Learning
Online Access:	https://arxiv.org/abs/2602.15033
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced Convergence in p-bit Based Simulated Annealing with Partial Deactivation for Large-Scale Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2026)

A Unified Performance-Cost Landscape of Parallel p-bit Ising Machines Based on Update Dynamics
by: Onizawa, Naoya, et al.
Published: (2026)

Analog-to-Stochastic Converter Using Magnetic Tunnel Junction Devices for Vision Chips
by: Onizawa, Naoya, et al.
Published: (2026)

Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2023)

Extractive summarization on a CMOS Ising machine
by: Zeng, Ziqing, et al.
Published: (2026)

An Efficient Quantum Classifier Based on Hamiltonian Representations
by: Tiblias, Federico, et al.
Published: (2025)

Process, Bias and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning
by: Kumar, Pratik, et al.
Published: (2022)

BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks
by: Bührer, Simon, et al.
Published: (2026)

GNN-based Path-aware multi-view Circuit Learning for Technology Mapping
by: Jiang, Wentao, et al.
Published: (2026)

AnalogCoder: Analog Circuit Design via Training-Free Code Generation
by: Lai, Yao, et al.
Published: (2024)

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)

Hybrid CMOS/Memristor Circuit Design Methodology
by: Maheshwari, Sachin, et al.
Published: (2020)

Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits
by: Teofilovic, Isidora, et al.
Published: (2024)

Quantum Circuit for Random Forest Prediction
by: Safina, Liliia, et al.
Published: (2023)

Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
by: Yan, Ge, et al.
Published: (2024)

ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring
by: Tsaras, Dimitris, et al.
Published: (2025)

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution
by: Sadhu, Saisab, et al.
Published: (2026)

CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
by: Vijayaraghavan, Prashanth, et al.
Published: (2024)

Training Variational Quantum Circuits Using Particle Swarm Optimization
by: Mordacci, Marco, et al.
Published: (2025)

GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling
by: Onizawa, Naoya, et al.
Published: (2026)

Learning-driven Physically-aware Large-scale Circuit Gate Sizing
by: Ye, Yuyang, et al.
Published: (2024)

CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning
by: Singh, Nihal Sanjay, et al.
Published: (2023)

Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
by: Hamakawa, Yohei, et al.
Published: (2025)

Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with Nest
by: Huo, Yuqian, et al.
Published: (2025)

AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
by: Beaudoin, Collin, et al.
Published: (2024)

Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
by: Ti, Changpeng, et al.
Published: (2024)

A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory
by: Manea, Paul-Philipp, et al.
Published: (2026)

Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware
by: Hamhoum, Wissal, et al.
Published: (2025)

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
by: Zhang, Tongtong, et al.
Published: (2024)

SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution
by: Yin, Ziang, et al.
Published: (2024)

TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
by: Greatorex, Hugh, et al.
Published: (2024)

MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design
by: Chen, Pin-Han, et al.
Published: (2025)

Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
by: Bano, A., et al.
Published: (2026)

Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2025)

Variational Quantum Circuits Enhanced Generative Adversarial Network
by: Shu, Runqiu, et al.
Published: (2024)

Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits
by: Garg, Nikhil, et al.
Published: (2024)

KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
by: Apak, Boran, et al.
Published: (2024)

Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
by: Mao, Yikai, et al.
Published: (2023)

Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction
by: Pinitas, Kosmas, et al.
Published: (2026)

A novel RF-enabled Non-Destructive Inspection Method through Machine Learning and Programmable Wireless Environments
by: Tsimpoukis, Stavros, et al.
Published: (2026)