no code implementations • 21 May 2021 • Pinaki Sen, Amandeep Singh Bhatia, Kamalpreet Singh Bhangu, Ahmed Elbeltagi
The curvature information of variational quantum classifiers (VQC) is interpreted and the loss function's convergence is shown.
no code implementations • 13 Jul 2020 • Amandeep Singh Bhatia, Shenggen Zheng
The main objective of this paper is on using two-way quantum finite automata with classical states to simulate, model and analyze the ribonucleic acid (RNA) sequences.
no code implementations • 27 Jun 2020 • Amandeep Singh Bhatia, Mandeep Kaur Saggi, Shenggen Zheng, Soumya Ranjan Nayak
Motivated by particle swarm optimization (PSO) and quantum computing theory, we have presented a quantum variant of PSO (QPSO) mutated with Cauchy operator and natural selection mechanism (QPSO-CD) from evolutionary computations.
no code implementations • 4 May 2019 • Amandeep Singh Bhatia, Mandeep Kaur Saggi, Ajay Kumar, Sushma Jain
In this paper, we have shown that matrix product state as one-dimensional array of tensors can be used to classify classical and quantum data.