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20222025
most citedArchitectures for Quantum Information Processing

1 citations · 2 across the 5 of their papers we have counts for

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quant-ph20251 cited

Quantum Quandaries: Unraveling Encoding Vulnerabilities in Quantum Neural Networks

Suryansh Upadhyay, Swaroop Ghosh

Quantum computing (QC) has the potential to revolutionize fields like machine learning, security, and healthcare. Quantum machine learning (QML) has emerged as a promising area, en…

quant-ph2024

SHARE: Secure Hardware Allocation and Resource Efficiency in Quantum Systems

Suryansh Upadhyay, Swaroop Ghosh

Quantum computing (QC) is poised to revolutionize problem solving across various fields, with research suggesting that systems with over 50 qubits may achieve quantum advantage sur…

quant-ph20221 cited

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…

quant-ph2022

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…

quant-ph2022

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…