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20182026
most citedBenchmarking the performance of portfolio optimization with QAOA

106 citations · 168 across the 17 of their papers we have counts for

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quant-ph2026

Quantum Machine Learning for Complex Systems

Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi +2

Quantum machine learning (QML) is rapidly transitioning from theoretical promise to practical relevance across data-intensive scientific domains. In this Review, we provide a struc…

quant-ph2026

Quantum Computing for Electronic Circular Dichroism Spectrum Prediction of Chiral Molecules

Amandeep Singh Bhatia, Sabre Kais

Electronic circular dichroism (ECD) spectroscopy captures the chiroptical response of molecules, enabling absolute configuration assignment that is vital for enantioselective synth…

quant-ph2024★ 2 cited

Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare

Amandeep Singh Bhatia, David E. Bernal Neira

Healthcare industries frequently handle sensitive and proprietary data, and due to strict privacy regulations, they are often reluctant to share data directly. In today's context,…

quant-ph2022★ 106 cited

Benchmarking the performance of portfolio optimization with QAOA

Sebastian Brandhofer, Daniel Braun, Vanessa Dehn +6

We present a detailed study of portfolio optimization using different versions of the quantum approximate optimization algorithm (QAOA). For a given list of assets, the portfolio o…

quant-ph2021★ 35 cited

Variational Quantum Classifiers Through the Lens of the Hessian

Pinaki Sen, Amandeep Singh Bhatia, Kamalpreet Singh Bhangu +1

In quantum computing, the variational quantum algorithms (VQAs) are well suited for finding optimal combinations of things in specific applications ranging from chemistry all the w…

quant-ph2020

Quadratic Sieve Factorization Quantum Algorithm and its Simulation

Amandeep Singh Bhatia, Ajay Kumar

Quantum computing is a winsome field that concerns with the behaviour and nature of energy at the quantum level to improve the efficiency of computations. In recent years, quantum…

quant-ph2019★ 1 cited

Matrix Product State Based Quantum Classifier

Amandeep Singh Bhatia, Mandeep Kaur Saggi, Ajay Kumar +1

In recent years, interest in expressing the success of neural networks to the quantum computing has increased significantly. Tensor network theory has become increasingly popular a…

quant-ph2018★ 2 cited

Implementing Entangled States on a Quantum Computer

Amandeep Singh Bhatia, Mandeep Kaur Saggi

The study of tensor network theory is an important field and promises a wide range of experimental and quantum information theoretical applications. Matrix product state is the mos…

quant-ph2018★ 4 cited

On the Power of Quantum Queue Automata in Real-time

Amandeep Singh Bhatia, Ajay Kumar

This paper proposed a quantum analogue of classical queue automata by using the definition of the quantum Turing machine and quantum finite-state automata. However, quantum automat…