Utkarsh

I am an undergraduate research student at Center for Computational Natural Sciences and Bioinformatics (CCNSB), IIIT Hyderabad, advised by Professor Harjinder Singh. My research interests lie in the applications of Quantum Computing in Natural Sciences, Optimizations, Machine Learning and vice versa.

I am a quantum compute researcher at QpiAI, where I work on developing quantum, quantum-inspired algorithms and a full software stack for their quantum hardware, ASGPTM.

I am also part of IBM Quantum Research Programme and a Qiskit Advocate, IBM. Along with this, I'm an active contributor to Qiskit community, and Quantum Open Source Foundation (QOSF) projects such as NISQAI.

In the past, I've worked with Professor Apoorva Patel at IISc, Bangalore, and Professor Prasanta K. Panigrahi at IISER Kolkata. The projects majorly focused on simulation, development and application of NISQ Algorithms. I've also worked in an experimental biophysics laboratory under the guidance of Professor Musti J. Swamy at the University of Hyderabad.

Email  /  Github  /  Research Gate  /  Twitter

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News

Research

I'm interested in the symbiotic relationship of quantum computing, quantum software, machine learning and natural sciences.

ssnqc 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 / Talk / Codebase

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.

nnqaoa Noise Analysis of Quantum Approximate Optimization Algorithm on Weighted MAX-CUT
Utkarsh, L. Priyadarshi
IEEE CICT, 2019   (Best Paper Award)
IEEE Xplore / Slides

Illustrates the approach to approximately solving hard combinatorial optimization problems using a hybrid quantum-classical scheme and describe the issues in their hardware implementation.

ccqad 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.

vrp Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm
Utkarsh, B. K. Behera, P. K. Panigrahi
(Under Review)
ArXiv / Feature

We describe the usage of Quantum Approximate Optimization Algorithm (QAOA) to solve Vehicle Routing Problem (VRP).

qnn 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.

cpvan 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.

qnn 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.

yrf 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.

Projects
explorer Explorer
(QpiAI India Pvt Ltd)
Website

Educational software for building ML & AI models, and doing quantum circuit generation & quantum optimizations.

secird SECIRD Model for COVID-19
Utkarsh
Technical Report

An extension to the standard SEIR deterministic model for modelling the spread of an infectious disease such as COVID-19.

rdnet ReDiscovery NETwork (RDNET)
S. Shashank, Utkarsh
(ML in Nautral Sciences)
Report / Codebase

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.

mmt Impact of Music Stimuli on Decision Making
Utkarsh, Nitesh Gupta
(Music, Mind and Technology)
Report / Codebase

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.

Achievements

Teaching
Blackboard Scribble
Blackboard scribble
Teaching Assistant, SCI101: General Physics, Monsoon 2018, IIIT-Hyderabad

Teaching Assistant, SCI347: Select Topics in Physical Chemistry, Spring 2019, IIIT-Hyderabad

Teaching Assistant, SCI440: Quantum Computing in Natural Sciences, Monsoon 2019, IIIT-Hyderabad

Teaching Assistant, SC1111: Science - II, Spring 2020, IIIT-Hyderabad

Teaching Associate, SC1110: Science - I, Monsoon 2020, IIIT-Hyderabad

Teaching Associate, M20T16: Open Quantum Systems and Quantum Thermodynamics, Monsoon 2020, IIIT-Hyderabad
Service
Bikash Quantum Project Mentor, Bikash's Quantum

qiskitqml Mentor and Coordinator, Qiskit Challenge India: Quantum Machine Learning

STEP Teaching Volunteer, Student Technology Education Program (STEP)

Asha Kiran Teaching Volunteer, Asha Kiran, Hyderabad


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