no code implementations • 29 May 2024 • Satwik Kundu, Swaroop Ghosh
In this work, we introduce STIQ, a novel ensemble-based strategy designed to safeguard QNNs against such cloud-based adversaries.
no code implementations • 24 Apr 2024 • Archisman Ghosh, Debarshi Kundu, Avimita Chatterjee, Swaroop Ghosh
We obtain watermark extraction accuracy of 100% and ~90% for training the qGAN on individual and multiple quantum hardware setups (and inferencing on different hardware), respectively.
no code implementations • 11 Mar 2024 • Debarshi Kundu, Archisman Ghosh, Srinivasan Ekambaram, Jian Wang, Nikolay Dokholyan, Swaroop Ghosh
We show that protein sequences can be thought of as sentences in natural language processing and can be parsed using the existing Quantum Natural Language framework into parameterized quantum circuits of reasonable qubits, which can be trained to solve various protein-related machine-learning problems.
no code implementations • 23 Feb 2024 • Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh
Rule-based approaches are used in quantum compilers such as Qiskit, tket, and Quilc.
no code implementations • 18 Feb 2024 • Satwik Kundu, Debarshi Kundu, Swaroop Ghosh
In this study, we assess the efficacy of such attacks in the realm of quantum computing.
no code implementations • 23 Jul 2023 • Satwik Kundu, Debarshi Kundu, Swaroop Ghosh
The exponential run time of quantum simulators on classical machines and long queue times and high costs of real quantum devices present significant challenges in the efficient optimization of Variational Quantum Algorithms (VQAs) like Variational Quantum Eigensolver (VQE), Quantum Approximate Optimization Algorithm (QAOA) and Quantum Neural Networks (QNNs).
no code implementations • 21 May 2023 • Junde Li, Swaroop Ghosh
Learning algorithms and data are the driving forces for machine learning to bring about tremendous transformation of industrial intelligence.
no code implementations • 17 May 2023 • 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.
no code implementations • 21 Apr 2023 • Koustubh Phalak, Swaroop Ghosh
We use a (a) linear function where the number of shots reduce linearly with epochs, and (b) step function where the number of shots reduce in step with epochs.
no code implementations • 5 Dec 2022 • Junde Li, Collin Beaudoin, Swaroop Ghosh
Drug targets are the main focus of drug discovery due to their key role in disease pathogenesis.
no code implementations • 16 Aug 2022 • Collin Beaudoin, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh
Using quantum computing, this paper addresses two scientifically pressing and day-to-day relevant problems, namely, chemical retrosynthesis which is an important step in drug/material discovery and security of the semiconductor supply chain.
no code implementations • 10 Apr 2022 • Karthikeyan Nagarajan, Junde Li, Sina Sayyah Ensan, Mohammad Nasim Imtiaz Khan, Sachhidh Kannan, Swaroop Ghosh
We investigate the impact of the attacks on digit classification tasks and find that in the worst-case scenario, classification accuracy is reduced by 85. 65%.
no code implementations • 7 Apr 2022 • Satwik Kundu, Swaroop Ghosh
In the last few years, quantum computing has experienced a growth spurt.
no code implementations • 2 Feb 2022 • Mahabubul Alam, Swaroop Ghosh
In DeepQMLP, stacked shallow Quantum Neural Network (QNN) models mimic the hidden layers of a classical feed-forward multi-layer perceptron network.
no code implementations • 15 Nov 2021 • Junde Li, Swaroop Ghosh
The architectural strategies in hybrid quantum classical networks such as, adjustable quantum layer depth, heterogeneous learning rates, and patched quantum circuits are proposed to learn high dimensional dataset such as, ligand-targeted drugs.
no code implementations • 7 Sep 2021 • Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh
We review two proposals on quantum-classical hybrid ML models for image classification namely, Quanvolutional Neural Network and dimension reduction using a classical algorithm followed by QNN.
no code implementations • 1 Apr 2021 • Junde Li, Mahabubul Alam, Congzhou M Sha, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh
Traditional drug discovery pipeline takes several years and cost billions of dollars.
1 code implementation • 9 Jan 2021 • Junde Li, Rasit Topaloglu, Swaroop Ghosh
We propose a qubit-efficient quantum GAN with a hybrid generator (QGAN-HG) to learn richer representation of molecules via searching exponentially large chemical space with few qubits more efficiently than classical GAN.
no code implementations • ECCV 2020 • Junde Li, Swaroop Ghosh
Non-maximum suppression (NMS) has been adopted by default for removing redundant object detections for decades.
no code implementations • 4 Feb 2020 • Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
As a result, the optimization loop converges in a fewer number of iterations.
no code implementations • 13 Jul 2019 • Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
In QAOA, the objective is a function of the quantum state, which itself is a function of the gate parameters of a multi-level parameterized quantum circuit (PQC).
Quantum Physics Emerging Technologies