5 papers
Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
Abhishek Sadhu, Sharu Theresa Jose
Distributed quantum algorithms offer a promising pathway to scale variational quantum algorithms beyond the constraints of noisy intermediate-scale quantum hardware. However, exist…
Cryptographic Fragility of Standard Quantum Repeater Protocols
Abhishek Sadhu, Sharu Theresa Jose
The security of the proposed quantum Internet relies on repeater protocols designed under the assumption of stochastic, characterizable noise. We demonstrate that in adversarial en…
CutQAS: Topology-aware quantum circuit cutting via reinforcement learning
Abhishek Sadhu, Aritra Sarkar, Akash Kundu
Simulating molecular systems on quantum processors has the potential to surpass classical methods in computational resource efficiency. The limited qubit connectivity, small proces…
KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
Akash Kundu, Aritra Sarkar, Abhishek Sadhu
Quantum architecture Search (QAS) is a promising direction for optimization and automated design of quantum circuits towards quantum advantage. Recent techniques in QAS emphasize M…
A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
Abhishek Sadhu, Aritra Sarkar, Akash Kundu
In the field of quantum computing, variational quantum algorithms (VQAs) represent a pivotal category of quantum solutions across a broad spectrum of applications. These algorithms…