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Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations

arXiv:2607.20377v1 Announce Type: cross Abstract: Quantum-kernel methods encode a dataset's geometry in a Gram matrix, so learning claims on hardware kernels assume the intended geometry survives exec

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23 Jul 2026

Search: “hardware”

A Controlled Diagnostic Study of Hardware-Induced Distortions in Hardware-Aware Training

Arch: An AI-Native Hardware Description Language for Register-Transfer Clocked Hardware Design

ViBE: Co-Optimizing Workload Skew and Hardware Variability for MoE Serving

Machines that know they are aging: a framework for hardware-aware autonomous intelligence

Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges

RainFusion2.0: Temporal-Spatial Awareness and Hardware-Efficient Block-wise Sparse Attention

Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations

Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench

FPGA-Based Hardware Architecture for Contrast Maximization in Event-Based Vision

Hardware-Efficient FPGA Implementation of Sigmoid Function Using Mixed-Radix Hyperbolic Rotation CORDIC

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

Hardware Utilization and Inference Performance of Edge Object Detection Under Fault Injection

Generative Models on Analog Hardware with Dynamics

Quantum Cinema: An Interactive Cinematic Exploration of Quantum Computing Hardware via Generative World Models

FP8 is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail

Explainability Methods for Hardware Trojan Detection: A Systematic Comparison

Octopus Protocol: One-Shot Hardware Discovery and Control for AI Agents via Infrastructure-as-Prompts

ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA

Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?

Algorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty Estimation

Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities

AEG: A Baremetal Framework for AI Acceleration via Direct Hardware Access in Heterogeneous Accelerators

On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories

Message Passing Based Two-Timescale Bayesian Learning for Joint Channel and Memory Hardware Impairments Tracking

Lie Group Diffusion Models for Hardware-Aware Quantum Circuit Synthesis

Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction

Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks

LAUDE: LLM-Assisted Unit Test Generation and Debugging of Hardware DEsigns

Overcoming Data Scarcity and Confidentiality in Hardware Assurance via Synthetic Generation

Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System

MDTransformer: A Hardware-Software Co-Design of Mode-Division Photonic Transformer Accelerator with Inverse-Designed Coherent Crossbar

QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron

Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation

Agentic Hardware Design as Repository-Level Code Evolution

Enhancing Co-packaging Optics Enabled Silicon Photonics Security Assurance Hardware Fingerprinting

PEBRE: An Open-Hardware Compute and Perception Add-On for the Pepper Robot

Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems

Learning Quantized Continuous Controllers for Integer Hardware

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware

DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training

SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation