Publications

2026

  • How To Track Qubits Through Space and Time
    (Or: Sailing in a Quantum Boat).
    J Bartusek, Z Huang, L Orshansky, H Yuen.
    2026. Forthcoming to arXiv.

  • Private proofs of when and where.
    U Girish, G Gluch, S Goldwasser, T Malkin, L Orshansky, H Yuen.
    2026.
    [arXiv, eprint]

2025

  • Comparing classical and quantum conditional disclosure of secrets.
    U Girish, A May, L Orshansky, C Waddell.
    Quantum 10, 2049 (2025). [arXiv]

2023

  • Harvesting Brownian Motion: Zero Energy Computational Sampling.
    D Doty, N Kornerup, A Luchsinger, L Orshansky, D Soloveichik, D Woods.
    [arXiv]

2020

  • Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training.
    Z Deng, B Ghaemmaghami, AK Singh, BY Cho, L Orshansky, M Erez, MP Orshansky.
    Asian Conference on Machine Learning (ACML), 2024.