Martin Leib

According to our database, Martin Leib authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Missing Puzzle Pieces in the Performance Landscape of the Quantum Approximate Optimization Algorithm.

Elisabeth Wybo, Martin Leib

Quantum, 2025

2024

Vanishing performance of the parity-encoded quantum approximate optimization algorithm applied to spin-glass models.

Elisabeth Wybo, Martin Leib

Quantum, 2024

Low-depth simulations of fermionic systems on square-grid quantum hardware.

Manuel G. Algaba, P. V. Sriluckshmy, Martin Leib, Fedor Simkovic IV

Quantum, 2024

Small Quantum Codes from Algebraic Extensions of Generalized Bicycle Codes.

Nikolaos Koukoulekidis, Fedor Simkovic IV, Martin Leib, Francisco Revson Fernandes Pereira

CoRR, 2024

2023

Workshop Summary: Quantum Machine Learning.

Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2021

Layerwise learning for quantum neural networks.

Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib

Quantum Mach. Intell., 2021

Solving the Shipment Rerouting Problem with Quantum Optimization Techniques.

Sheir Yarkoni, Andreas Huck, Hanno Schülldorf, Benjamin Speitkamp, Marc Shakory Tabrizi, Martin Leib, Thomas Bäck, Florian Neukart

Proceedings of the Computational Logistics - 12th International Conference, 2021

2020

TensorFlow Quantum: A Software Framework for Quantum Machine Learning.

Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni

CoRR, 2020

2017

Solving Quantum Chemistry Problems with a D-Wave Quantum Annealer.

Michael Streif, Florian Neukart, Martin Leib

Proceedings of the Quantum Technology and Optimization Problems, 2017