Quantum Phase Recognition using Quantum Tensor Networks

no code implementations • 12 Dec 2022 • Shweta Sahoo, Utkarsh Azad, Harjinder Singh

Machine learning (ML) has recently facilitated many advances in solving problems related to many-body physical systems.

Image Classification Quantum Machine Learning +1

Machine Learning based Discrimination for Excited State Promoted Readout

no code implementations • 16 Oct 2022 • Utkarsh Azad, Helena Zhang

A limiting factor for readout fidelity for superconducting qubits is the relaxation of the qubit to the ground state before the time needed for the resonator to reach its final target state.

Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search

1 code implementation • 1 Apr 2021 • Animesh Sinha, Utkarsh Azad, Harjinder Singh

Near-term quantum hardware can support two-qubit operations only on the qubits that can interact with each other.

PennyLane: Automatic differentiation of hybrid quantum-classical computations

26 code implementations • 12 Nov 2018 • Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, Shahnawaz Ahmed, Vishnu Ajith, M. Sohaib Alam, Guillermo Alonso-Linaje, B. AkashNarayanan, Ali Asadi, Juan Miguel Arrazola, Utkarsh Azad, Sam Banning, Carsten Blank, Thomas R Bromley, Benjamin A. Cordier, Jack Ceroni, Alain Delgado, Olivia Di Matteo, Amintor Dusko, Tanya Garg, Diego Guala, Anthony Hayes, Ryan Hill, Aroosa Ijaz, Theodor Isacsson, David Ittah, Soran Jahangiri, Prateek Jain, Edward Jiang, Ankit Khandelwal, Korbinian Kottmann, Robert A. Lang, Christina Lee, Thomas Loke, Angus Lowe, Keri McKiernan, Johannes Jakob Meyer, J. A. Montañez-Barrera, Romain Moyard, Zeyue Niu, Lee James O'Riordan, Steven Oud, Ashish Panigrahi, Chae-Yeun Park, Daniel Polatajko, Nicolás Quesada, Chase Roberts, Nahum Sá, Isidor Schoch, Borun Shi, Shuli Shu, Sukin Sim, Arshpreet Singh, Ingrid Strandberg, Jay Soni, Antal Száva, Slimane Thabet, Rodrigo A. Vargas-Hernández, Trevor Vincent, Nicola Vitucci, Maurice Weber, David Wierichs, Roeland Wiersema, Moritz Willmann, Vincent Wong, Shaoming Zhang, Nathan Killoran

PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.

BIG-bench Machine Learning Quantum Machine Learning