1 citations · 2 across the 6 of their papers we have counts for
6 papers
Physics-Informed Generative Machine Learning for Accelerated Quantum-centric Supercomputing
Chayan Patra, Dibyendu Mondal, Sonaldeep Halder +4
Quantum centric supercomputing (QCSC) framework, such as sample-based quantum diagonalization (SQD) holds immense promise toward achieving practical quantum utility to solve challe…
Quantum Interference-Induced Bhattacharyya Distance
Mostafizur Rahaman Laskar
We propose a quantum distance measure between probability distributions encoded in quantum states based on the fragility of quantum interference under entangling evolution. The Qua…
Basis Adaptive Algorithm for Quantum Many-Body Systems on Quantum Computers
Anutosh Biswas, Sayan Ghosh, Ritajit Majumdar +3
We introduce a Basis Adaptive (BA) algorithm for hybrid quantum-classical simulation of correlated quantum many-body systems. Starting from a small set of physically motivated bits…
Entanglement for Pattern Learning in Temporal Data with Logarithmic Complexity: Benchmarking on IBM Quantum Hardware
Mostafizur Rahaman Laskar, Richa Goel
Time series forecasting is foundational in scientific and technological domains, from climate modelling to molecular dynamics. Classical approaches have significantly advanced sequ…
Hamiltonian Encoding for Quantum Approximate Time Evolution of Kinetic Energy Operator
Mostafizur Rahaman Laskar, Kalyan Dasgputa, Amit Kumar Dutta +1
The time evolution operator plays a crucial role in the precise computation of chemical experiments on quantum computers and holds immense promise for advancing the fields of physi…
A Proposed Quantum Hamiltonian Encoding Framework for Time Evolution Operator Design of Potential Energy Function
Mostafizur Rahaman Laskar, Kalyan Dasgupta, Atanu Bhattacharya
The exploration of potential energy operators in quantum systems holds paramount significance, offering profound insights into atomic behaviour, defining interactions, and enabling…