collaborators

8 papers

eess.SP2026

Conjugate Equivariant Neural Network for Precoder Learning

Shiyong Chen, Mingyu Deng, Shengqian Han

Exploiting mathematical properties of wireless policies in deep neural network (DNN) design can improve learning performance and generalizability while reducing training complexity…

quant-ph2026

How to Test Bell Nonlocality for Gravity?

Debarshi Das, Mir Alimuddin, Simon Storz +2

We propose an experiment to test Bell nonlocality, a genuine nonclassicality, for the gravitational field. Two masses with embedded entangled spins (e.g., two diamonds with their N…

quant-ph2026

Unbounded Communication Power of a Qubit

Souradeep Sasmal, Som Kanjilal, Debarshi Das

Quantum mechanics enables information-processing advantages even at the level of a single qubit. A paradigmatic example is the 21 random access code (RAC), where a qubit outpe…

quant-ph2026

Classifying Measurement Incompatibility under Classical Pre- and Post-Processing Operations

Arun Kumar Das, Saheli Mukherjee, Debashis Saha +2

Measurement incompatibility has proved to be an important resource for quantum information processing. In this work, we present an operational approach that leverages classical ope…

quant-ph2025

How "Quantum" is your Quantum Computer? Macrorealism-based Benchmarking via Mid-Circuit Parity Measurements

Ben Zindorf, Lorenzo Braccini, Debarshi Das +1

To perform meaningful computations, Quantum Computers (QCs) must scale to macroscopic levels - i.e., to a large number of qubits - an objective pursued by most quantum companies. H…

quant-ph2025

Nonclassicality of a Macroscopic Qubit-Ensemble via Parity Measurement Induced Disturbance

Lorenzo Braccini, Debarshi Das, Ben Zindorf +3

We propose an experimental scheme to test the nonclassicality of a macroscopic ensemble of qubits, through the violation of the classical notion of macrorealism (MR) via the fundam…