I'm interested in the symbiotic relationship of quantum computing, quantum software, machine learning and natural sciences.
A Software Simulator for Noisy Quantum Circuits
H. Chaudhary*, B. Mahato*, L. Priyadarshi*, N. Roshan*, Utkarsh* and A. Patel
(Featured in NISQ Newsletter by NASA-USRA, part of India's QuEST initiative) ArXiv
A software library that simulates noisy quantum logic circuits, in which quantum states
are represented by their density matrices, and possible errors in initialisation, logic gates, memory and
measurement are implemented using simple models.
Noise Analysis of Quantum Approximate Optimization Algorithm on Weighted MAX-CUT Utkarsh, L. Priyadarshi
IEEE CICT, 2019   (Best Paper Award) IEEE Xplore /
Illustrates the approach to approximately solving hard combinatorial optimization problems using a hybrid
quantum-classical scheme and describe the issues in their hardware implementation.
Circuit Centric Quantum Architecture Design Utkarsh, A. Papneja, R. K. Saini, B. K. Behera, P. K. Panigrahi
(Under Review) Research Gate
Novel procedure to determine the hardware with the most optimal permissible interactions that allow the most efficient run for a given circuit.
Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm Utkarsh, B. K. Behera, P. K. Panigrahi
(Under Review) ArXiv /
We describe the usage of Quantum Approximate Optimization Algorithm (QAOA) to solve Vehicle
Routing Problem (VRP).
Electronic Energy Calculations using Hybrid Quantum-Classical Algorithms Utkarsh, S. Sahoo, H. Singh
QPTEC, 2020   (Poster Presentation) Poster
Illustrates use of hybrid algorithms like QSE and VITE for electronic energy calculations of molecular systems.
Characterising the performance of Variational Algorithms on NISQ devices Utkarsh, L. Priyadarshi
QIP, 2020   (Poster Presentation) Technical Abstract
Illustrates the issues in the hardware implementation due to presence of errors in logic gates, memory states and measurement operations.
Quantum Neural Networks: Towards an era of Quantum-Assisted Machine Learning Utkarsh, S. Sahoo, H. Singh
Young IQIS Conference, 2020   (Poster Presentation) Poster
Implemented a hybrid algorithm to realize the approximation of any analytical function, and classification tasks.
Noise Analysis of Variational Hybrid Quantum-Classical Algorithms on Weighted MAX-CUT Utkarsh, L. Priyadarshi
Young Researcher Forum, CALDAM, 2020   (Talk) Slides
Illustrates the issues in the hardware implementation of hybrid algorithm to solve Weighted MAX-CUT in presence of noise.
An extension to the standard SEIR deterministic model for modelling the spread of an infectious disease such as COVID-19.
ReDiscovery NETwork (RDNET)
S. Shashank, Utkarsh (ML in Nautral Sciences) Report
Prediction of material properties such as superconductivity i.e. critical temperature, and formation energy with
significant accuracy by convolution neural network using elemental composition as inputs.
Impact of Music Stimuli on Decision Making Utkarsh, Nitesh Gupta
(Music, Mind and Technology) Report
Illustrating how music affects our decision making in various scenarios and which
parts of decision making like stimulus evaluation, response caution, and response bias,
are actually affected by music.