6 papers
Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification
Milton Mondal, Sushovan Chanda, Mohamad Mahdi Alawieh +6
Hybrid Quantum Neural Network (QNN) classifiers produce logits as expectation values of quantum measurement operators. For standard Pauli measurements, these outputs are intrinsica…
Enhancing the teleportation fidelity of a quantum network using purification
Soumit Roy, Md Sohel Mondal, Siddhartha Santra +1
Complex quantum networks can support a diverse set of long-range entanglement distribution schemes ranging from linear repeater protocols to multipath entanglement purification str…
Quantum connectivity of quantum networks
Md Sohel Mondal, Shashank Shekhar, Siddhartha Santra
The practical utility of a quantum network depends on its ability to establish entanglement between arbitrary node pairs with quality sufficient to execute entanglement enabled tas…
End-to-end entanglement of quantum network paths with multi-parameter states
Md Sohel Mondal, Aniket Zambare, Siddhartha Santra
Long-range entanglement distribution in a quantum network relies on entanglement swapping at intermediate nodes along a network path to connect short-range entangled states establi…
Optimal resource requirements for connected quantum sub-networks
Shashank Shekhar, Md Sohel Mondal, Siddhartha Santra
The realization of a global quantum network capable of supporting secure communication and other quantum information processing (QIP) tasks hinges on the ability to distribute high…
Statistical analysis of Multipath Entanglement Purification in Quantum Networks
Rajni Bala, Md Sohel Mondal, Siddhartha Santra
In quantum networks, a set of entangled states distributed over multiple, alternative, distinct paths between a pair of source-destination nodes can be purified to obtain a higher…