5 citations · 6 across the 13 of their papers we have counts for
14 papers
Quantum Wavefunction Augmentation via Variational Autoencoders
Sonaldeep Halder, Chayan Patra, Rahul Maitra
Sample-based quantum diagonalization (SQD) has emerged as a promising route for quantum-centric supercomputing, relying on classical diagonalization of the molecular Hamiltonian wi…
Advancing Practical Quantum Embedding Simulations via Operator Commutativity Based State Preparation for Complex Chemical Systems
Dibyendu Mondal, Ashish Kumar Patra, Rahul Maitra
Determining the exponentially scaled ground state wavefunction and the associated molecular properties remains one of the central challenges in quantum chemistry. Hybrid quantum-cl…
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…
Operator Commutativity Screening and Progressive Operator Block Reordering toward Many-body Inspired Quantum State Preparation
Dibyendu Mondal, Debaarjun Mukherjee, Rahul Maitra
In the field of quantum chemistry, the variational quantum eigensolver (VQE) has emerged as a highly promising approach to determine molecular energies and properties within the no…
Fragment, Entangle, and Consolidate: Strong Correlation through Bi-fold Quantum Circuits
Arpan Choudhury, Sonaldeep Halder, Rahul Maitra +1
An accurate description of strong correlation is quintessential for the exploration of emerging chemical phenomena. While near-term variational quantum algorithms provide a theoret…
Efficient quantum state preparation through seniority driven operator selection
Dipanjali Halder, Dibyendu Mondal, Rahul Maitra
Quantum algorithms require accurate representations of electronic states on a quantum device, yet the approximation of electronic wave functions for strongly correlated systems rem…
Energy Landscape Plummeting in Variational Quantum Eigensolver: Subspace Optimization, Non-iterative Corrections and Generator-informed Initialization for Improved Quantum Efficiency
Chayan Patra, Rahul Maitra
Variational Quantum Eigensolver (VQE) faces significant challenges due to hardware noise and the presence of barren plateaus and local traps in the optimization landscape. To mitig…
Machine Learning Approach towards Quantum Error Mitigation for Accurate Molecular Energetics
Srushti Patil, Dibyendu Mondal, Rahul Maitra
Despite significant efforts, the realization of the hybrid quantum-classical algorithms has predominantly been confined to proof-of-principles, mainly due to the hardware noise. Wi…
Construction of Chemistry Inspired Dynamic Ansatz Utilizing Generative Machine Learning
Sonaldeep Halder, Kartikey Anand, Rahul Maitra
Generative machine learning models like the Restricted Boltzmann Machine (RBM) provide a practical approach for ansatz construction within the quantum computing framework. This wor…
Projective Quantum Eigensolver with Generalized Operators
Dibyendu Mondal, Chayan Patra, Dipanjali Halder +1
Determination of molecular energetics and properties is one of the core challenges in the near-term quantum computing. To this end, hybrid quantum-classical algorithms are preferre…
Towards a Resource-Optimized Dynamic Quantum Algorithm via Non-iterative Auxiliary Subspace Corrections
Chayan Patra, Debaarjun Mukherjee, Sonaldeep Halder +2
Recent quantum algorithms pertaining to electronic structure theory primarily focus on threshold-based dynamic construction of ansatz by selectively including important many-body o…
Projective Quantum Eigensolver via Adiabatically Decoupled Subsystem Evolution: a Resource Efficient Approach to Molecular Energetics in Noisy Quantum Computers
Chayan Patra, Sonaldeep Halder, Rahul Maitra
Quantum computers hold immense potential in the field of chemistry, ushering new frontiers to solve complex many body problems that are beyond the reach of classical computers. How…
Noise-independent Route towards the Genesis of a COMPACT Ansatz for Molecular Energetics: a Dynamic Approach
Dipanjali Halder, Dibyendu Mondal, Rahul Maitra
Recent advances in quantum information and quantum science have inspired the development of various compact dynamic structured ansätze that are expected to be realizable in the Noi…
Machine Learning Assisted Cognitive Construction of a Shallow Depth Dynamic Ansatz for Noisy Quantum Hardware
Sonaldeep Halder, Anish Dey, Chinmay Shrikhande +1
The development of various dynamic ansatz-constructing techniques has ushered in a new era, rendering the practical exploitation of Noisy Intermediate-Scale Quantum (NISQ) hardware…