76 citations · 125 across the 10 of their papers we have counts for
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Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers
Abdullah Ash Saki, Rasit Onur Topaloglu, Swaroop Ghosh
Trapped-ion systems can have a limited number of ions (qubits) in a single trap. Increasing the qubit count to run meaningful quantum algorithms would require multiple traps where…
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)
Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu +1
Image classification is a major application domain for conventional deep learning (DL). Quantum machine learning (QML) has the potential to revolutionize image classification. In a…
Shuttle-Exploiting Attacks and Their Defenses in Trapped-Ion Quantum Computers
Abdullah Ash Saki, Rasit Onur Topaloglu, Swaroop Ghosh
Trapped-ion (TI) quantum bits are a front-runner technology for quantum computing. TI systems with multiple interconnected traps can overcome the hardware connectivity issue inhere…
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…
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li, Rasit Topaloglu, Swaroop Ghosh
Existing drug discovery pipelines take 5-10 years and cost billions of dollars. Computational approaches aim to sample from regions of the whole molecular and solid-state compounds…