Ryan Babbush

According to our database, Ryan Babbush authored at least 20 papers between 2014 and 2025.

Collaborative distances:

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

2025

A simplified version of the quantum OTOC⁽²⁾ problem.

Robbie King, Robin Kothari, Ryan Babbush, Sergio Boixo, Kostyantyn Kechedzhi, Thomas E. O'Brien, Vadim Smelyanskiy

CoRR, October, 2025

Generative quantum advantage for classical and quantum problems.

Hsin-Yuan Huang, Michael Broughton, Norhan Eassa, Hartmut Neven, Ryan Babbush, Jarrod R. McClean

CoRR, September, 2025

The discrete adiabatic quantum linear system solver has lower constant factors than the randomized adiabatic solver.

Pedro C. S. Costa, Dong An, Ryan Babbush, Dominic W. Berry

Quantum, 2025

Scaling and logic in the colour code on a superconducting quantum processor.

Nathan Lacroix, Alexandre Bourassa, Francisco J. H. Heras, L. M. Zhang, Johannes Bausch, Andrew W. Senior, Thomas Edlich, Noah Shutty, V. Sivak, Andreas Bengtsson, Matthew J. McEwen, O. Higgott, Dvir Kafri, Jahan Claes, Alexis Morvan, Zijun Chen, Adam Zalcman, S. Madhuk, R. Acharya, Laleh Aghababaie Beni, G. Aigeldinger, R. Alcaraz, Trond I. Andersen, Markus Ansmann, Frank Arute, Kunal Arya, A. Asfaw, Juan Atalaya, Ryan Babbush, B. Ballard, Joseph C. Bardin, A. Bilmes, Sam Blackwell, J. Bovaird, D. Bowers, L. Brill, M. Broughton, D. A. Browne, B. Buchea, B. B. Buckley, T. Burger, Brian Burkett, N. Bushnell, A. Cabrera, J. Campero, Hung-Shen Chang, Benjamin Chiaro, Liang-Ying Chih, A. Y. Cleland, J. Cogan, Roberto Collins, P. Conner, W. Courtney, A. L. Crook, Benjamin Curtin, Sayan Das, Sean Demura, L. De Lorenzo, Agustin Di Paolo, P. Donohoe, Ilya K. Drozdov, Andrew Dunsworth, A. Eickbusch, A. Moshe Elbag, M. Elzouka, Catherine Erickson, V. S. Ferreira, L. Flores Burgos, E. Forati, Austin G. Fowler, Brooks Foxen, S. Ganjam, G. Garcia, R. Gasca, Élie Genois, W. Giang, Dar Gilboa, Raja Gosula, A. Grajales Dau, D. Graumann, Amy L. Greene, Jonathan A. Gross, T. Ha, Stephen Habegger, M. Hansen, Matthew P. Harrigan, Sean D. Harrington, S. Heslin, P. Heu, R. Hiltermann, J. Hilton, Sabrina Hong, H.-Y. Huang, A. Huff, William J. Huggins, Evan Jeffrey, Zhang Jiang, X. Jin, C. Joshi, Pavol Juhas, A. Kabel, H. Kang, Amir H. Karamlou, Kostyantyn Kechedzhi, T. Khaire, Tanuj Khattar, M. Khezri, S. Kim, Paul V. Klimov, B. Kobrin, Alexander N. Korotkov, F. Kostritsa, J. Mark Kreikebaum, V. D. Kurilovich, David Landhuis, T. Lange-Dei, B. W. Langley, P. Laptev, K.-M. Lau, J. Ledford, K. Lee, Brian Lester, Loïck Le Guevel, W. Yan Li, Y. Li, A. T. Lill, William P. Livingston, Aditya Locharla, Erik Lucero, D. Lundahl, A. Lunt, A. Maloney, Salvatore Mandrà, L. S. Martin, O. Martin, C. Maxfield, Jarrod R. McClean, S. Meeks, Anthony Megrant, K. C. Miao, R. Molavi, S. Molina, Shirin Montazeri, Ramis Movassagh, Charles J. Neill, Michael Newman, A. Nguyen, M. Nguyen, C.-H. Ni, Murphy Yuezhen Niu, L. Oas, W. D. Oliver, R. Orosco, K. Ottosson, Alex Pizzuto, R. Potter, O. Pritchard, Chris Quintana, G. Ramachandran, Matthew J. Reagor, R. Resnick, David M. Rhodes, G. Roberts, E. Rosenberg, E. Rosenfeld, E. Rossi, Pedram Roushan, Kannan A. Sankaragomathi, Henry F. Schurkus, M. J. Shearn, A. Shorter, V. Shvarts, S. Small, W. Clarke Smith, S. Springer, George Sterling, J. Suchard, Aaron Szasz, A. Sztein, D. Thor, E. Tomita, A. Torres, Mustafa Mert Torunbalci, A. Vaishnav, J. Vargas, S. Vdovichev, G. Vidal, Catherine Vollgraff Heidweiller, S. Waltman, Jonathan Waltz, S. X. Wang, Brayden Ware, T. Weidel, Ted White, K. Wong, Bryan W. K. Woo, Madison Woodson, C. Xing, Z. Jamie Yao, Ping Yeh, B. Ying, J. Yoo, Noureldin Yosri, G. Young, Y. Zhang, Ningfeng Zhu, N. Zobrist, Hartmut Neven, Pushmeet Kohli, Alex Davies, Sergio Boixo, Julian Kelly, Cody Jones, Craig Gidney, Kevin J. Satzinger

Nat., 2025

Optimization by decoded quantum interferometry.

Stephen P. Jordan, Noah Shutty, Mary Wootters, Adam Zalcman, Alexander Schmidhuber, Robbie King, Sergei V. Isakov, Tanuj Khattar, Ryan Babbush

Nat., 2025

Quartic quantum speedups for planted inference.

Alexander Schmidhuber, Ryan O'Donnell, Robin Kothari, Ryan Babbush

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Triply efficient shadow tomography.

Robbie King, David Gosset, Robin Kothari, Ryan Babbush

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024

Expressing and Analyzing Quantum Algorithms with Qualtran.

Matthew P. Harrigan, Tanuj Khattar, Charles Yuan, Anurudh Peduri, Noureldin Yosri, Fionn D. Malone, Ryan Babbush, Nicholas C. Rubin

CoRR, 2024

2023

Exponential quantum speedup in simulating coupled classical oscillators^*.

Ryan Babbush, Dominic W. Berry, Robin Kothari, Rolando D. Somma, Nathan Wiebe

Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2021

The Fermionic Quantum Emulator.

Nicholas C. Rubin, Klaas Gunst, Alec F. White, Leon Freitag, Kyle Throssell, Garnet Kin-Lic Chan, Ryan Babbush, Toru Shiozaki

Quantum, 2021

Quantum advantage in learning from experiments.

Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean

CoRR, 2021

2020

Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization.

Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod R. McClean, Wei Sun, Zhang Jiang, Nicholas C. Rubin, Austin G. Fowler, Alán Aspuru-Guzik, Hartmut Neven, Ryan Babbush

Quantum, 2020

Variational Quantum Algorithms.

Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles

CoRR, 2020

Power of data in quantum machine learning.

Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean

CoRR, 2020

2019

Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization.

Dominic W. Berry, Craig Gidney, Mario Motta, Jarrod R. McClean, Ryan Babbush

Quantum, 2019

Learning to learn with quantum neural networks via classical neural networks.

Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni

CoRR, 2019

2018

Barren plateaus in quantum neural network training landscapes.

Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven

CoRR, 2018

2014

Bayesian Network Structure Learning Using Quantum Annealing.

Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy

CoRR, 2014

Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing.

Ryan Babbush, Vasil S. Denchev, Nan Ding, Sergei Isakov, Hartmut Neven

CoRR, 2014

Bayesian Sampling Using Stochastic Gradient Thermostats.

Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014