233 citations · 252 across the 11 of their papers we have counts for
11 papers
QDsiM: A Noise-Aware Simulation Toolkit for Quantum Diamond Microscope
Satyam Pandey, Abhimanyu Magapu, Prabhat Anand +2
The nitrogen-vacancy (NV) center in diamond is a leading solid-state platform for room-temperature quantum magnetometry owing to its long spin coherence times, optical spin initial…
Parallelized Givens Ansatz for Molecular ground-states: Bridging Accuracy and Efficiency on NISQ Platforms
M. R. Nirmal, Ankit Khandelwal, Manoj Nambiar +1
In recent years, the Variational Quantum Eigensolver (VQE) has emerged as one of the most popular algorithms for solving the electronic structure problem on near-term quantum compu…
Phase-Based Approaches for Rapid Construction of Magnetic Fields in NV Magnetometry
Prabhat Anand, Ankit Khandelwal, Achanna Anil Kumar +5
With the second quantum revolution underway, quantum-enhanced sensors are moving from laboratory demonstrations to field deployments, providing enhanced and even new capabilities.…
Quantum Algorithms for tensor-SVD
Jezer Jojo, Ankit Khandelwal, M Girish Chandra
A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm…
Classification and transformations of quantum circuit decompositions for permutation operations
Ankit Khandelwal, Handy Kurniawan, Shraddha Aangiras +2
Efficient decomposition of permutation unitaries is vital as they frequently appear in quantum computing. In this paper, we identify the key properties that impact the decompositio…
On Modifying the Variational Quantum Singular Value Decomposition Algorithm
Jezer Jojo, Ankit Khandelwal, M Girish Chandra
In this work, we discuss two modifications that can be made to a known variational quantum singular value decomposition algorithm popular in the literature. The first is a change t…
Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective
Ankit Khandelwal, M Girish Chandra
There is heightened interest in quantum algorithms for Topological Data Analysis (TDA) as it is a powerful tool for data analysis, but it can get highly computationally expensive.…
Enhancing Protocol Privacy with Blind Calibration of Quantum Devices
Ankit Khandelwal, Stephen DiAdamo
To mitigate the noise in quantum channels, calibration is used to tune the devices to minimize error. Generally, calibration is performed by transmitting pre-agreed-upon calibratio…
Quantum Image Representation Methods Using Qutrits
Ankit Khandelwal, M Girish Chandra
Quantum Image Processing is a recent highlight in the quantum computing field. All previous methods for representing the images as quantum states were defined using qubits. One Qua…
On Classifying Images using Quantum Image Representation
Ankit Khandelwal, M Girish Chandra, Sayantan Pramanik
In this paper, we consider different Quantum Image Representation Methods to encode images into quantum states and then use a Quantum Machine Learning pipeline to classify the imag…
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,…