Image de couverture de livre

The Q-Spellbook: Crafting Surface Code Layouts and Magic State Protocols for Large-Scale Quantum Computing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chatterjee, Avimita, Ghosh, Archisman, Ghosh, Swaroop
Format:	Preprint
Publié:	2025
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Art of Optimizing T-Depth for Quantum Error Correction in Large-Scale Quantum Computing
par: Chatterjee, Avimita, et autres
Publié: (2025)

Toward designing workload-aware Surface Code Architectures
par: Ghosh, Archisman, et autres
Publié: (2026)

No Tile Left Behind: Multiprogramming for Surface-Code Architectures
par: Ghosh, Archisman, et autres
Publié: (2026)

Magic Mirror on the Wall, How to Benchmark Quantum Error Correction Codes, Overall ?
par: Chatterjee, Avimita, et autres
Publié: (2024)

Quantum Prometheus: Defying Overhead with Recycled Ancillas in Quantum Error Correction
par: Chatterjee, Avimita, et autres
Publié: (2024)

Design Automation in Quantum Error Correction
par: Ghosh, Archisman, et autres
Publié: (2025)

Survival of the Optimized: An Evolutionary Approach to T-depth Reduction
par: Ghosh, Archisman, et autres
Publié: (2025)

Capturing Quantum Snapshots from a Single Copy via Mid-Circuit Measurement and Dynamic Circuit
par: Kundu, Debarshi, et autres
Publié: (2025)

Q-Pandora Unboxed: Characterizing Noise Resilience of Quantum Error Correction Codes
par: Chatterjee, Avimita, et autres
Publié: (2023)

MITS: A Quantum Sorcerer Stone For Designing Surface Codes
par: Chatterjee, Avimita, et autres
Publié: (2024)

Guardians of the Quantum GAN
par: Ghosh, Archisman, et autres
Publié: (2024)

Q-Embroidery: A Study on Weaving Quantum Error Correction into the Fabric of Quantum Classifiers
par: Chatterjee, Avimita, et autres
Publié: (2024)

Quantum Error Correction For Dummies
par: Chatterjee, Avimita, et autres
Publié: (2023)

Guess, SWAP, Repeat : Capturing Quantum Snapshots in Classical Memory
par: Kundu, Debarshi, et autres
Publié: (2025)

Lattice Surgery for Dummies
par: Chatterjee, Avimita, et autres
Publié: (2024)

Investigating impact of bit-flip errors in control electronics on quantum computation
par: Das, Subrata, et autres
Publié: (2024)

The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
par: Ghosh, Archisman, et autres
Publié: (2024)

Optimizing Quantum Embedding using Genetic Algorithm for QML Applications
par: Phalak, Koustubh, et autres
Publié: (2024)

AI-driven Reverse Engineering of QML Models
par: Ghosh, Archisman, et autres
Publié: (2024)

A Graph-Based Forensic Framework for Inferring Hardware Noise of Cloud Quantum Backend
par: Das, Subrata, et autres
Publié: (2025)

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses
par: Ghosh, Archisman, et autres
Publié: (2025)

Trustworthy Computing using Untrusted Cloud-Based Quantum Hardware
par: Upadhyay, Suryansh, et autres
Publié: (2023)

Application of Quantum Tensor Networks for Protein Classification
par: Kundu, Debarshi, et autres
Publié: (2024)

Optimization of Quantum Error Correcting Code under Temporal Variation of Qubit Quality
par: Das, Subrata, et autres
Publié: (2025)

Quantum Data Breach: Reusing Training Dataset by Untrusted Quantum Clouds
par: Upadhyay, Suryansh, et autres
Publié: (2024)

Impact of Error Rate Misreporting on Resource Allocation in Multi-tenant Quantum Computing and Defense
par: Das, Subrata, et autres
Publié: (2025)

A Primer on Security of Quantum Computing Hardware
par: Ghosh, Swaroop, et autres
Publié: (2023)

Non-parametric Greedy Optimization of Parametric Quantum Circuits
par: Phalak, Koustubh, et autres
Publié: (2024)

SHARE: Secure Hardware Allocation and Resource Efficiency in Quantum Systems
par: Upadhyay, Suryansh, et autres
Publié: (2024)

Quantum Quandaries: Unraveling Encoding Vulnerabilities in Quantum Neural Networks
par: Upadhyay, Suryansh, et autres
Publié: (2025)

QuaLITi: Quantum Machine Learning Hardware Selection for Inferencing with Top-Tier Performance
par: Phalak, Koustubh, et autres
Publié: (2024)

STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud
par: Kundu, Satwik, et autres
Publié: (2024)

Inverse-Transpilation: Reverse-Engineering Quantum Compiler Optimization Passes from Circuit Snapshots
par: Kundu, Satwik, et autres
Publié: (2025)

MagicPool: Dealing with Magic State Distillation Failures on Large-Scale Fault-Tolerant Quantum Computer
par: Hirano, Yutaka, et autres
Publié: (2024)

Security Concerns in Quantum Machine Learning as a Service
par: Kundu, Satwik, et autres
Publié: (2024)

Efficient Magic State Cultivation on the Surface Code
par: Vaknin, Yotam, et autres
Publié: (2025)

Recursive Magic State Distillation on the Surface Code
par: Moussa, Jonathan E.
Publié: (2026)

Adversarial Data Poisoning Attacks on Quantum Machine Learning in the NISQ Era
par: Kundu, Satwik, et autres
Publié: (2024)

Dataset Distillation for Quantum Neural Networks
par: Phalak, Koustubh, et autres
Publié: (2025)

DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms
par: Kundu, Satwik, et autres
Publié: (2023)