6 citations · 7 across the 13 of their papers we have counts for
7 papers · 2 filters
A Graph-Based Forensic Framework for Inferring Hardware Noise of Cloud Quantum Backend
Subrata Das, Archisman Ghosh, Swaroop Ghosh
Cloud quantum platforms give users access to many backends with different qubit technologies, coupling layouts, and noise levels. The execution of a circuit, however, depends on in…
Design Automation in Quantum Error Correction
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Quantum error correction (QEC) underpins practical fault-tolerant quantum computing (FTQC) by addressing the fragility of quantum states and mitigating decoherence-induced errors.…
Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses
Archisman Ghosh, Satwik Kundu, Swaroop Ghosh
Quantum Machine Learning (QML) integrates quantum computing with classical machine learning, primarily to solve classification, regression and generative tasks. However, its rapid…
Capturing Quantum Snapshots from a Single Copy via Mid-Circuit Measurement and Dynamic Circuit
Debarshi Kundu, Avimita Chatterjee, Archisman Ghosh +1
We propose Quantum Snapshot with Dynamic Circuit (QSDC), a hardware-agnostic, learning-driven framework for capturing quantum snapshots: non-destructive estimates of quantum states…
Survival of the Optimized: An Evolutionary Approach to T-depth Reduction
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Quantum Error Correction (QEC) is the cornerstone of practical Fault-Tolerant Quantum Computing (FTQC), but incurs enormous resource overheads. Circuits must decompose into Cliffor…
The Art of Optimizing T-Depth for Quantum Error Correction in Large-Scale Quantum Computing
Avimita Chatterjee, Archisman Ghosh, Swaroop Ghosh
Quantum Error Correction (QEC), combined with magic state distillation, ensures fault tolerance in large-scale quantum computation. To apply QEC, a circuit must first be transforme…