76 citations · 85 across the 13 of their papers we have counts for
14 papers
Dataset Distillation for Quantum Neural Networks
Koustubh Phalak, Junde Li, Swaroop Ghosh
Training Quantum Neural Networks (QNNs) on large amount of classical data can be both time consuming as well as expensive. Higher amount of training data would require higher numbe…
Quantum Computing and Cybersecurity Education: A Novel Curriculum for Enhancing Graduate STEM Learning
Suryansh Upadhyay, Koustubh Phalak, Jungeun Lee +2
Quantum computing is an emerging paradigm with the potential to transform numerous application areas by addressing problems considered intractable in the classical domain. However,…
Optimizing Quantum Embedding using Genetic Algorithm for QML Applications
Koustubh Phalak, Archisman Ghosh, Swaroop Ghosh
Quantum Embeddings (QE) are essential for loading classical data into quantum systems for Quantum Machine Learning (QML). The performance of QML algorithms depends on the type of Q…
QuaLITi: Quantum Machine Learning Hardware Selection for Inferencing with Top-Tier Performance
Koustubh Phalak, Swaroop Ghosh
Quantum Machine Learning (QML) is an accelerating field of study that leverages the principles of quantum computing to enhance and innovate within machine learning methodologies. H…
AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh
Quantum circuit transformation aims to produce equivalent circuits while optimizing for various aspects such as circuit depth, gate count, and compatibility with modern Noisy Inter…
Non-parametric Greedy Optimization of Parametric Quantum Circuits
Koustubh Phalak, Swaroop Ghosh
The use of Quantum Neural Networks (QNN) that are analogous to classical neural networks, has greatly increased in the past decade owing to the growing interest in the field of Qua…
Quantum Random Access Memory For Dummies
Koustubh Phalak, Avimita Chatterjee, Swaroop Ghosh
Quantum Random Access Memory (QRAM) has the potential to revolutionize the area of quantum computing. QRAM uses quantum computing principles to store and modify quantum or classica…
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh
Identification and verification of molecular properties such as side effects is one of the most important and time-consuming steps in the process of molecule synthesis. For example…
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training
Koustubh Phalak, Swaroop Ghosh
In this paper, we propose shot optimization method for QML models at the expense of minimal impact on model performance. We use classification task as a test case for MNIST and FMN…
Quantum Error Correction For Dummies
Avimita Chatterjee, Koustubh Phalak, Swaroop Ghosh
In the current Noisy Intermediate Scale Quantum (NISQ) era of quantum computing, qubit technologies are prone to imperfections, giving rise to various errors such as gate errors, d…
Approximate Quantum Random Access Memory Architectures
Koustubh Phalak, Junde Li, Swaroop Ghosh
Quantum supremacy in many applications using well-known quantum algorithms rely on availability of data in quantum format. Quantum Random Access Memory (QRAM), an equivalent of cla…
Optimization of Quantum Read-Only Memory Circuits
Koustubh Phalak, Mahabubul Alam, Abdullah Ash-Saki +2
Quantum computing is a rapidly expanding field with applications ranging from optimization all the way to complex machine learning tasks. Quantum memories, while lacking in practic…
A Survey and Tutorial on Security and Resilience of Quantum Computing
Abdullah Ash Saki, Mahabubul Alam, Koustubh Phalak +3
Present-day quantum computers suffer from various noises or errors such as gate error, relaxation, dephasing, readout error, and crosstalk. Besides, they offer a limited number of…
Quantum PUF for Security and Trust in Quantum Computing
Koustubh Phalak, Abdullah Ash-Saki, Mahabubul Alam +2
Quantum computing is a promising paradigm to solve computationally intractable problems. Various companies such as, IBM, Rigetti and D-Wave offer quantum computers using a cloud-ba…