This record was last updated on September 30, 2026.

Accepted / To Appear

  • Van Tien Nguyen and Panagiotis P. Markopoulos, “VQBR: Variational Quantum Bayesian Regression via Measurement-Based MAP Direction Recovery,” to appear in Proceedings of the 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), Quantum Machine Learning Technical Papers Track, Toronto, ON, Canada, Sept. 2026. Accepted. [Paper], [Code]
  • Van Tien Nguyen and Panagiotis P. Markopoulos, “Parameter-Efficient Multilinear Readout for Quantum Reservoir Computing,” Workshop on Quantum Machine Learning at IEEE Quantum Week 2026 (QML@QCE), Toronto, ON, Canada, Sept. 2026. Accepted for speed presentation and poster; to appear in workshop proceedings. [Paper], [Code]
  • Van Tien Nguyen, Mayur Dhanaraj, and Panagiotis P. Markopoulos, “Depth- and Rank-Selective Multilinear Transformation Layers for Compact CNNs,” 60th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 2026. Accepted. [Paper], [Code]

Peer-Reviewed Conference Papers

  • Van Tien Nguyen and Panagiotis P. Markopoulos, “Quantum-Based Tensor Contraction Layers,” in Machine Learning from Challenging Data 2026, Proc. SPIE, Vol. 14030, Paper No. 140300I, 2026. [Paper], [Code]
  • M. Tran, T. Pham, V. T. Nguyen, T. Do, and T. N. Duc, “A robust framework for mathematical formula detection,” 2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2021, pp. 1-6. [Paper]

Submitted Manuscripts

  • Van Tien Nguyen and Panagiotis P. Markopoulos, “Quantum Computing for Tensor Decomposition: A Review of Foundations, Algorithms, Challenges, and Future Directions,” ACM Transactions on Quantum Computing, submitted Aug. 2026. Manuscript TQC-2026-0189.
  • Mayur Dhanaraj*, Van Tien Nguyen*, and Panagiotis P. Markopoulos, “Adaptive Low-Rank Multilinear Transformations for Compact Convolutional Neural Networks,” IEEE Transactions on Artificial Intelligence, under review; resubmitted Aug. 2026.
    *Equal contribution. Supported by NSF Award 2332744. [Paper], [Code]
  • Van Tien Nguyen and Panagiotis P. Markopoulos, “Quantum Optimization for Adaptive Low-Rank CP Decomposition,” Quantum Machine Intelligence, submitted Sept. 1, 2026.

In-Preparation Manuscripts

These manuscripts are works in progress. The titles below are provisional working titles; final titles and publication venues are TBD.

  • Representation-Aware Quantum Tensor Contraction Layers: When Does a Quantum-Parameterized Bottleneck Improve Vision Heads?
  • Adaptive Shot-Resource Allocation for Variational Quantum Bayesian Regression
  • AdaRO-Q: Adaptive Readout Observables for Quantum Continual Learning
  • QCAR: Quantum-to-Classical Ambiguity Resolution for Reconstructing Classical Predictors from Amplitude-Encoded Regression States
  • Structured Low-Rank Readouts for Resource-Efficient Quantum Reservoir Computing
  • Quantum Tensor-Bit Encoding: Structure-Preserving Bit Encoding for Progressive Quantum Learning
  • Fisher-Aware Angle Encoding for Shot-Efficient Quantum Machine Learning
  • Quantum-Assisted Multiway Projection Layers: A Robust Late-Stage Convolution Replacement
  • VQ-CPD: Variational Quantum Canonical Polyadic Decomposition of Tensors and Pure States

Patents and Inventions

  • Confidential quantum-computing invention disclosure, UT San Antonio, 2026. Under institutional review.
  • “Detecting Ships in Distress Based on Optical Satellite Images and Automatic Identification System Signals,” Vietnamese patent filing, Jan. 2023.