Jacob M. Taylor

According to our database, Jacob M. Taylor authored at least 18 papers between 2002 and 2025.

Collaborative distances:

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

2025

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics.

Marco Del Tredici, Jacob McCarran, Benjamin Breen, Javier Aspuru Mijares, Weichen Winston Yin, Jacob M. Taylor, Frank H. L. Koppens, Dirk Englund

CoRR, October, 2025

QDFlow: A Python package for physics simulations of quantum dot devices.

Donovan Buterakos, Sandesh S. Kalantre, Joshua Ziegler, Jacob M. Taylor, Justyna P. Zwolak

CoRR, September, 2025

Accurate and Honest Approximation of Correlated Qubit Noise.

Setiawan F., Alexander V. Gramolin, Elisha Siddiqui Matekole, Hari Krovi, Jacob M. Taylor

Quantum, 2025

2023

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report.

Justyna P. Zwolak, Jacob M. Taylor, Reed Andrews, Jared Benson, Garnett W. Bryant, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark A. Eriksson, Eliska Greplova, Michael J. Gullans, Fabian Hader, Tyler J. Kovach, Pranav S. Mundada, Mick Ramsey, Torbjørn Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, Brian J. Weber

CoRR, 2023

2022

Theoretical Bounds on Data Requirements for the Ray-Based Classification.

Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin, Jacob M. Taylor, Justyna P. Zwolak

SN Comput. Sci., 2022

2021

Colloquium: Advances in automation of quantum dot devices control.

Justyna P. Zwolak, Jacob M. Taylor

CoRR, 2021

Toward Robust Autotuning of Noisy Quantum Dot Devices.

Joshua Ziegler, Thomas McJunkin, E. S. Joseph, Sandesh S. Kalantre, Benjamin Harpt, D. E. Savage, Mark G. Lagally, Mark A. Eriksson, Jacob M. Taylor, Justyna P. Zwolak

CoRR, 2021

Ray-based framework for state identification in quantum dot devices.

Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre, Samuel F. Neyens, E. R. MacQuarrie, Mark A. Eriksson, Jacob M. Taylor

CoRR, 2021

2020

Ray-based classification framework for high-dimensional data.

Justyna P. Zwolak, Sandesh S. Kalantre, Thomas McJunkin, Brian J. Weber, Jacob M. Taylor

CoRR, 2020

2017

Optomechanical Analogy for Toy Cosmology with Quantized Scale Factor.

Joseph A. Smiga, Jacob M. Taylor

Entropy, 2017

Super-polynomial separations for quantum-enhanced reinforcement learning.

Vedran Dunjko, Yi-Kai Liu, Xingyao Wu, Jacob M. Taylor

CoRR, 2017

Advances in quantum reinforcement learning.

Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

Quantum-enhanced machine learning.

Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel

CoRR, 2016

Enhanced learning for agents in quantum-accessible environments.

Jacob M. Taylor, Hans J. Briegel, Vedran Dunjko

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Framework for learning agents in quantum environments.

Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel

CoRR, 2015

2012

Circuit quantum electrodynamics with a spin qubit.

Karl D. Petersson, Louis W. McFaul, Michael D. Schroer, Minkyung Jung, Jacob M. Taylor, Andrew A. Houck, Jason R. Petta

Nat., 2012

2006

Dephasing of Quantum Bits by a Quasi-Static Mesoscopic Environment.

Jacob M. Taylor, M. D. Lukin

Quantum Inf. Process., 2006

2002

Self-organization in peer-to-peer systems.

Jonathan Ledlie, Jacob M. Taylor, Laura Serban, Margo I. Seltzer

Proceedings of the 10th ACM SIGOPS European Workshop, Saint-Emilion, France, July 1, 2002, 2002