5 papers · 1 filter
Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
Emma Andrews, Sahan Sanjaya, Prabhat Mishra
Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully craft…
Branch-Resolved Characterization of Feed-Forward Error in Dynamic Teleportation via Classical Choi Shadows
Mason Edwards, Prabhat Mishra
Mid-circuit measurement and classical feed-forward are essential primitives for dynamic-circuit teleportation on superconducting quantum processors. However, the error associated w…
Quantum Benchmarking via Random Dynamical Quantum Maps
Daniel Volya, Prabhat Mishra
We present a benchmarking protocol for universal quantum computers, achieved through the simulation of random dynamical quantum maps. This protocol provides a holistic assessment o…
Fast Quantum Process Tomography via Riemannian Gradient Descent
Daniel Volya, Andrey Nikitin, Prabhat Mishra
Constrained optimization plays a crucial role in the fields of quantum physics and quantum information science and becomes especially challenging for high-dimensional complex struc…
QudCom: Towards Quantum Compilation for Qudit Systems
Daniel Volya, Prabhat Mishra
Qudit-based quantum computation offers unique advantages over qubit-based systems in terms of noise mitigation capabilities as well as algorithmic complexity improvements. However,…