Security Aspects of Practical Quantum Cryptography. - Gilles Brassard; Norbert Lütkenhaus; Tal Mor; Barry C. Sanders (EUROCRYPT, 2000)

Spin Squeezing Criterion with Local Unitary Invariance. - A. R. Usha Devi; Xiaoguang Wang 007; Barry C. Sanders (Quantum Inf. Process., 2003)

Classical vs Quantum Fingerprinting. - Barry C. Sanders (ISMVL, 2005)

Classical and quantum fingerprinting with shared randomness and one-sided error. - Rolf T. Horn; A. J. Scott; Jonathan Walgate; Richard Cleve; A. I. Lvovsky 001; Barry C. Sanders (Quantum Inf. Comput., 2005)

Optimal fingerprinting strategies with one-sided error. - A. J. Scott; Jonathan Walgate; Barry C. Sanders (Quantum Inf. Comput., 2007)

Distributed Relay Protocol for Probabilistic Information-Theoretic Security in a Randomly-Compromised Network. - Travis R. Beals; Barry C. Sanders (ICITS, 2008)

Distributed authentication for randomly compromised networks. - Travis R. Beals; Kevin P. Hynes; Barry C. Sanders (CoRR, 2008)

Machine Learning for Adaptive Quantum Measurement. - Alexander Hentschel; Barry C. Sanders (ITNG, 2010)

Monogamy of Multi-qubit Entanglement in Terms of Rényi and Tsallis Entropies. - Jeong San Kim; Barry C. Sanders (TQC, 2010)

Enhanced Feedback Iterative Decoding of Sparse Quantum Codes. - Yun-Jiang Wang; Barry C. Sanders; Baoming Bai; Xinmei Wang (IEEE Trans. Inf. Theory, 2012)

Stabilizer formalism for generalized concatenated quantum codes. - Yun-Jiang Wang; Bei Zeng; Markus Grassl; Barry C. Sanders (ISIT, 2013)

Efficient Algorithms for Universal Quantum Simulation. - Barry C. Sanders (RC, 2013)

Gaussian quantum computation with oracle-decision problems. - Mark Adcock; Peter Høyer; Barry C. Sanders (Quantum Inf. Process., 2013)

Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine Learning Approach. - Ehsan Zahedinejad; Joydip Ghosh; Barry C. Sanders (CoRR, 2015)

Controlling adaptive quantum-phase estimation with scalable reinforcement learning. - Pantita Palittapongarnpim; Peter Wittek; Barry C. Sanders (ESANN, 2016)

Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics. - Pantita Palittapongarnpim; Peter Wittek; Ehsan Zahedinejad; Barry C. Sanders (CoRR, 2016)

Quantum computation with coherent spin states and the close Hadamard problem. - Mark Adcock; Peter Høyer; Barry C. Sanders (Quantum Inf. Process., 2016)

Robustness of learning-assisted adaptive quantum-enhanced metrology in the presence of noise. - Pantita Palittapongarnpim; Peter Wittek; Barry C. Sanders (SMC, 2017)

Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics. - Pantita Palittapongarnpim; Peter Wittek; Ehsan Zahedinejad; Shakib Vedaie; Barry C. Sanders (Neurocomputing, 2017)

Robustness of Adaptive Quantum-Enhanced Phase Estimation. - Pantita Palittapongarnpim; Barry C. Sanders (CoRR, 2018)

Machine learning framework for control in classical and quantum domains. - Archismita Dalal; Eduardo J. Páez; Seyed Shakib Vedaie; Barry C. Sanders (ESANN, 2020)

Building a quantum computer (invited). - Barry C. Sanders (SLIP, 2020)

Quantum Multiple Kernel Learning. - Seyed Shakib Vedaie; Moslem Noori; Jaspreet S. Oberoi; Barry C. Sanders; Ehsan Zahedinejad (CoRR, 2020)

Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks. - Archismita Dalal; Mohsen Bagherimehrab; Barry C. Sanders (CoRR, 2021)

Approximate reconstructability of quantum states and noisy quantum secret sharing schemes. - Yingkai Ouyang; Kaumudibikash Goswami; Jacquiline Romero; Barry C. Sanders; Min-Hsiu Hsieh; Marco Tomamichel (CoRR, 2023)

Qudit non-Clifford interleaved benchmarking. - David Amaro-Alcalá; Barry C. Sanders; Hubert de Guise (ISMVL, 2024)

Bimodality in E. coli gene expression: Sources and robustness to genome-wide stresses. - Ines S. C. Baptista; Suchintak Dash; Amir M. Arsh; Vinodh Kandavalli; Carlo Maria Scandolo; Barry C. Sanders; Andre S. Ribeiro (PLoS Comput. Biol., 2025)

Quantum-assisted support vector regression. - Archismita Dalal; Mohsen Bagherimehrab; Barry C. Sanders (Quantum Inf. Process., 2025)