35 citations · 127 across the 27 of their papers we have counts for
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Architectures for Quantum Information Processing
Suryansh Upadhyay, Mahabubul Alam, Swaroop Ghosh
Quantum computing is changing the way we think about computing. Significant strides in research and development for managing and harnessing the power of quantum systems has been ma…
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…
Robust and Secure Hybrid Quantum-Classical Computation on Untrusted Cloud-Based Quantum Hardware
Suryansh Upadhyay, Swaroop Ghosh
Quantum computers are currently accessible through a cloud-based platform that allows users to run their programs on a suite of quantum hardware. As the quantum computing ecosystem…
A Shuttle-Efficient Qubit Mapper for Trapped-Ion Quantum Computers
Suryansh Upadhyay, Abdullah Ash Saki, Rasit Onur Topaloglu +1
Trapped-ion (TI) quantum computer is one of the forerunner quantum technologies. However, TI systems can have a limited number of qubits in a single trap. Execution of meaningful q…
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…
DeepQMLP: A Scalable Quantum-Classical Hybrid DeepNeural Network Architecture for Classification
Mahabubul Alam, Swaroop Ghosh
Quantum machine learning (QML) is promising for potential speedups and improvements in conventional machine learning (ML) tasks (e.g., classification/regression). The search for id…