PIPages
Labs

Tasnuva Farheen

Louisiana State University, LA·Computer Science

A future quantum internet could move information more securely and more efficiently than today's networks, but it rests on fragile shared states called entanglement, where two particles behave as a linked pair even when far apart. One scheme, superdense coding, exploits such shared pairs to send more classical bits per transmission than would otherwise be possible.

Fields

Computer Science

Physics

Engineering

Topics

quantum communication

quantum internet

superdense coding

Grants
1 known grant, through Jun 2028

What they work on

  1. Test whether quantum correlation measures, specifically quantum discord and entanglement of formation, indicate channel noise more informatively than fidelity alone in simulated noisy quantum links.
  2. Develop low-overhead methods to estimate these correlation measures during operation, so that noise can be tracked without consuming large amounts of quantum resources.
  3. Design tunable pair-preserving purification circuits that adapt in real time and integrate them with a five-qubit quantum error correction code for superdense coding.
  4. Quantify throughput, latency, fidelity, and bit accuracy of the adaptive protocol under realistic noise models, and build lightweight controllers that translate measured correlations into purification parameters.
  5. Release open-source simulation software and educational materials for modeling and evaluating correlation-aware quantum networking protocols.

More about the research

The catch is noise: real hardware and real fiber degrade entanglement, lowering both reliability and capacity. Today's fixes typically sacrifice quantum pairs to clean up the rest, which does not scale well.

Why it matters

Secure communication, distributed quantum computing, and protection of critical infrastructure all depend on quantum links that survive realistic noise. A purification scheme that preserves rather than consumes entangled pairs could make quantum channels carry more information more reliably, with potential use in satellite links and future cybersecurity, and the released open-source simulator and teaching materials would let others reproduce and build on the results.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

EAGER: FET: Enhancing the Capacity of Quantum Channel Using Information Entropy-Based Metrics guided Adaptive Purification

NSF · Jul 2026 – Jun 2028

Closest labs

Sonia Lopez Alarcon

Rochester Institute of Technology, NY·Computer Science

Train machine learning models to identify and synthesize qubit routing algorithms tailored to a specific quantum device and objective, including selection of optimal parameters and optimization functions.

Angela Kou

University of Illinois Urbana-Champaign, IL·Physics·Early-career

Locate the origin of local, unpredictable defects in superconducting transmon qubits using a scanning microwave resonator probe that measures time-resolved qubit behavior.

Chun Jun Cao

Virginia Polytechnic Institute and State University, VA·Physics·Early-career

Develop fault-tolerant decoding and error-correction protocols for holographic codes, which are quantum error-correcting codes inspired by quantum gravity and built from tensor networks.

The school

Louisiana State University: 15 labs on PI Pages, $431M a year on research, 323 research doctorates a year.

More about Louisiana State University

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