Current Quantum Cryptography Algorithm Is Optimal: A Proof. - Oscar Galindo; Vladik Kreinovich; Olga Kosheleva (SSCI, 2018)

Towards a More Efficient Representation of Functions in Quantum and Reversible Computing. - Oscar Galindo; Laxman Bokati; Vladik Kreinovich (EUSFLAT Conf., 2019)

For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Fuzzy Numbers Than General Fuzzy Sets. - Oscar Galindo; Vladik Kreinovich (EUSFLAT Conf., 2019)

High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts. - Oscar Galindo; Olga Kosheleva; Vladik Kreinovich (FUZZ-IEEE, 2019)

Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning. - Oscar Galindo; Christian Ayub; Martine Ceberio; Vladik Kreinovich (SSCI, 2019)

Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation. - Oscar Galindo; Olga Kosheleva; Vladik Kreinovich (MICAI (1), 2020)

What Is the Optimal Annealing Schedule in Quantum Annealing. - Oscar Galindo; Vladik Kreinovich (SSCI, 2020)

Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms. - Deepak K. Tosh; Oscar Galindo; Vladik Kreinovich; Olga Kosheleva (SoSE, 2020)

Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs. - Vladik Kreinovich; Oscar Galindo; Olga Kosheleva (Int. J. Comput., 2022)

Fourier Transform and Other Quadratic Problems Under Interval Uncertainty. - Oscar Galindo; Christopher Ibarra; Vladik Kreinovich; Michael Beer (Decision Making Under Uncertainty and Constraints, 2023)