Imagen de Portada

Revisiting Noise-adaptive Transpilation in Quantum Computing: How Much Impact Does it Have?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huo, Yuqian, Wei, Jinbiao, Kverne, Christopher, Akewar, Mayur, Bhimani, Janki, Patel, Tirthak
Formato:	Preprint
Publicado:	2025
Materias:	Quantum Physics Emerging Technologies
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

WSBD: Freezing-Based Optimizer for Quantum Neural Networks
por: Kverne, Christopher, et al.
Publicado: (2026)

Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo
por: Ludmir, Jason Zev, et al.
Publicado: (2024)

ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks
por: DiBrita, Nicholas S., et al.
Publicado: (2024)

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

Parallax: A Compiler for Neutral Atom Quantum Computers under Hardware Constraints
por: Ludmir, Jason, et al.
Publicado: (2024)

QuFoundry: Generating Data with Quantum Properties for Quantum Machine Learning Utility
por: Ludmir, Jason, et al.
Publicado: (2025)

SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
por: Ludmir, Jason, et al.
Publicado: (2026)

Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
por: Ludmir, Jason Zev, et al.
Publicado: (2025)

ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
por: DiBrita, Nicholas S., et al.
Publicado: (2025)

TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency
por: Hasanat, Mohammad Abrarul, et al.
Publicado: (2026)

LLM-Powered Quantum Code Transpilation
por: Siavash, Nazanin, et al.
Publicado: (2025)

Optimised Fermion-Qubit Encodings for Quantum Simulation with Reduced Transpiled Circuit Depth
por: de la Bastida, Michael Williams, et al.
Publicado: (2025)

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
por: Han, Jason, et al.
Publicado: (2025)

Clifford Assisted Optimal Pass Selection for Quantum Transpilation
por: Dangwal, Siddharth, et al.
Publicado: (2023)

Comparative Study of Quantum Transpilers: Evaluating the Performance of qiskit-braket-provider, qBraid-SDK, and Pytket Extensions
por: Louamri, Mohamed Messaoud, et al.
Publicado: (2024)

Lightweight Targeted Estimation of Layout Noise in a Quantum Computer using Quality Indicator Circuits
por: Srivastava, Shikhar, et al.
Publicado: (2025)

Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory
por: Wei, Ying-Hao, et al.
Publicado: (2025)

Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
por: Wang, Meng, et al.
Publicado: (2022)

KORAL: Knowledge Graph Guided LLM Reasoning for SSD Operational Analysis
por: Akewar, Mayur, et al.
Publicado: (2026)

Energy-Aware Quantum-Enhanced Computing Continuum
por: H., Carlos J. Barrios, et al.
Publicado: (2026)

Quantum Computing for Healthcare Digital Twin Systems
por: Monfared, Asma Taheri, et al.
Publicado: (2026)

Efficient Transpilation of OpenQASM 3.0 Dynamic Circuits to CUDA-Q: Performance and Expressiveness Advantages
por: Kulkarni, Vinooth, et al.
Publicado: (2026)

How NOT to Fool the Masses When Giving Performance Results for Quantum Computers
por: McGeoch, Catherine
Publicado: (2024)

Hybrid Data Management Architecture for Present Quantum Computing
por: Zajac, Markus, et al.
Publicado: (2024)

Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
por: Han, Jason, et al.
Publicado: (2025)

Potential Energy Savings from Quantum Computing-Based Route Optimization
por: Nadiger, Ayush, et al.
Publicado: (2026)

Noise-adaptive hybrid quantum convolutional neural networks based on depth-stratified feature extraction
por: Kim, Taehyun, et al.
Publicado: (2026)

Protonic Nickelate Device Networks for Spatiotemporal Neuromorphic Computing
por: Zhou, Yue, et al.
Publicado: (2025)

Does Prompt Design Impact Quality of Data Imputation by LLMs?
por: Srinivasan, Shreenidhi, et al.
Publicado: (2025)

5 Year Update to the Next Steps in Quantum Computing
por: Brown, Kenneth, et al.
Publicado: (2024)

Distributionally Robust Variational Quantum Algorithms with Shifted Noise
por: He, Zichang, et al.
Publicado: (2023)

TensorQC: Towards Scalable Distributed Quantum Computing via Tensor Networks
por: Tang, Wei, et al.
Publicado: (2025)

QVecOpt: An Efficient Storage and Computing Opti-mization Framework for Large-scale Quantum State Simulation
por: Yu, Mingyang, et al.
Publicado: (2025)

QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers
por: Zhang, Yuqi, et al.
Publicado: (2025)

Adaptive Extreme Edge Computing for Wearable Devices
por: Covi, Erika, et al.
Publicado: (2020)

Pairwise XOR and XNOR Gates in Squeezed Instantaneous Noise Based Logic
por: Kenarangui, Nasir, et al.
Publicado: (2026)

Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing
por: Barral, David, et al.
Publicado: (2024)

Quantum Computing for Automotive Applications
por: Riofrío, Carlos A., et al.
Publicado: (2024)

Combinatorial Optimization with Quantum Computers
por: Chicano, Francisco, et al.
Publicado: (2024)

Economic Struggles and Inflation: How Does that affect voting decision?
por: Afzal, Muhammad Hassan Bin
Publicado: (2024)