collaborators

11 papers

quant-ph2026

Promise and Challenges of Distimation

Joshua Carlo A. Casapao, Ananda G. Maity, Naphan Benchasattabuse +4

Estimating the quality of raw entangled states and distilling high-fidelity entanglement traditionally require two separate link-layer protocols in a quantum network stack, each co…

quant-ph2026

Fault-tolerant modular quantum computing with surface codes using single-shot emission-based hardware

Siddhant Singh, Rikiya Kashiwagi, Kazufumi Tanji +4

Fault-tolerant modular quantum computing requires stabilizer measurements across the modules in a quantum network. For this, entangled states of high quality and rate must be distr…

quant-ph2025

Linear Program Witness for Network Nonlocality in Arbitrary Networks

Salome Hayes-Shuptar, Daniel Bhatti, Ana Belen Sainz +1

Network nonlocality extends Bell nonlocality to settings with multiple independent sources and parties. Certifying it in quantum information processing tasks requires suitable witn…

quant-ph2025

Hybrid Quantum Repeater Chains with Atom-based Quantum Processing Units and Quantum Memory Multiplexers

Shin Sun, Daniel Bhatti, Shaobo Gao +2

Quantum repeaters enable the generation of reliable entanglement across long distances despite the underlying channel noise. Nevertheless, realizing quantum repeaters poses a diffi…

quant-ph2025

Modular Architectures and Entanglement Schemes for Error-Corrected Distributed Quantum Computation

Siddhant Singh, Fenglei Gu, Sébastian de Bone +3

Connecting multiple smaller qubit modules by generating high-fidelity entangled states is a promising path for scaling quantum computing hardware. The performance of such a modular…

quant-ph2025

Efficient graph-diagonal characterization of noisy states distributed over quantum networks via Bell sampling

Zherui Jerry Wang, Joshua Carlo A. Casapao, Naphan Benchasattabuse +6

Graph states are an important class of entangled states that serve as a key resource for distributed information processing and communication in quantum networks. In this work, we…