activity
20182025
most citedPennyLane: Automatic differentiation of hybrid quantum-classical computations

233 citations · 417 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2025★ 1 cited

A Blockchain-based Quantum Binary Voting for Decentralized IoT Towards Industry 5.0

Utkarsh Azad, Bikash K. Behera, Houbing Song +1

Industry 5.0 depends on intelligence, automation, and hyperconnectivity operations for effective and sustainable human-machine collaboration. Pivotal technologies like the Internet…

quant-ph2022

Quantum Phase Recognition using Quantum Tensor Networks

Shweta Sahoo, Utkarsh Azad, Harjinder Singh

Machine learning (ML) has recently facilitated many advances in solving problems related to many-body physical systems. Given the intrinsic quantum nature of these problems, it is…

quant-ph2022

Machine Learning based Discrimination for Excited State Promoted Readout

Utkarsh Azad, Helena Zhang

A limiting factor for readout fidelity for superconducting qubits is the relaxation of the qubit to the ground state before the time needed for the resonator to reach its final tar…

quant-ph2022★ 2 cited

qLEET: Visualizing Loss Landscapes, Expressibility, Entangling Power and Training Trajectories for Parameterized Quantum Circuits

Utkarsh Azad, Animesh Sinha

We present qLEET, an open-source Python package for studying parameterized quantum circuits (PQCs), which are widely used in various variational quantum algorithms (VQAs) and quant…

quant-ph2021★ 6 cited

Differentiable quantum computational chemistry with PennyLane

Juan Miguel Arrazola, Soran Jahangiri, Alain Delgado +15

This work describes the theoretical foundation for all quantum chemistry functionality in PennyLane, a quantum computing software library specializing in quantum differentiable pro…

quant-ph2021★ 7 cited

Surface Code Design for Asymmetric Error Channels

Utkarsh Azad, Aleksandra Lipińska, Shilpa Mahato +3

Surface codes are quantum error correcting codes normally defined on 2D arrays of qubits. In this paper, we introduce a surface code design based on the fact that the severity of b…

quant-ph2021★ 13 cited

Quantum Chemistry Calculations using Energy Derivatives on Quantum Computers

Utkarsh Azad, Harjinder Singh

Quantum chemistry calculations such as the prediction of molecular properties and modeling of chemical reactions are a few of the critical areas where near-term quantum computers c…

quant-ph2021★ 1 cited

Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search

Animesh Sinha, Utkarsh Azad, Harjinder Singh

Near-term quantum hardware can support two-qubit operations only on the qubits that can interact with each other. Therefore, to execute an arbitrary quantum circuit on the hardware…

quant-ph2020★ 154 cited

Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm

Utkarsh Azad, Bikash K. Behera, Emad A. Ahmed +2

In this paper, we describe the usage of the Quantum Approximate Optimization Algorithm (QAOA), which is a quantum-classical heuristic, to solve a combinatorial optimization and int…

quant-ph2018★ 233 cited

PennyLane: Automatic differentiation of hybrid quantum-classical computations

Ville Bergholm, Josh Izaac, Maria Schuld +65

PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices,…