15 citations · 27 across the 22 of their papers we have counts for
30 papers
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa Jose
We investigate Gaussian process (GP) bandit optimization with quantum kernels, assuming the mean reward function lies in the reproducing kernel Hilbert space (RKHS) induced by the…
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…
Optimal Error Exponents for Composite Sequential Quantum Hypothesis Testing
Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose
We study the composite sequential quantum hypothesis testing (SQHT) problem, where the objective is to distinguish a null quantum state from a set of alternative quantum states. We…
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…
Quantum-Enhanced Neural Contextual Bandit Algorithms
Yuqi Huang, Vincent Y. F Tan, Sharu Theresa Jose
Stochastic contextual bandits are fundamental for sequential decision-making but pose significant challenges for existing neural network-based algorithms, particularly when scaling…
Sample Complexity of Composite Quantum Hypothesis Testing
Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose
This paper investigates symmetric composite binary quantum hypothesis testing (QHT), where the goal is to determine which of two uncertainty sets contains an unknown quantum state.…