Jacob M. Taylor

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 12

Top Topics

Dimensional Data

Quantum Computing

Reinforcement Learning

Top Venues

SN Comput. Sci.

Publications

Justyna P. Zwolak, Jacob M. Taylor, Reed Andrews, Jared Benson, Garnett 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
Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report. CoRR (2023)
Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin, Jacob M. Taylor, Justyna P. Zwolak
Theoretical Bounds on Data Requirements for the Ray-Based Classification. SN Comput. Sci. 3 (1) (2022)
Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre, Samuel F. Neyens, E. R. MacQuarrie, Mark A. Eriksson, Jacob M. Taylor
Ray-based framework for state identification in quantum dot devices. CoRR (2021)
Justyna P. Zwolak, Jacob M. Taylor
Colloquium: Advances in automation of quantum dot devices control. CoRR (2021)
Joshua Ziegler, Thomas McJunkin, E. S. Joseph, Sandesh S. Kalantre, Benjamin Harpt, D. E. Savage, Mark G. Lagally, M. A. Eriksson, Jacob M. Taylor, Justyna P. Zwolak
Toward Robust Autotuning of Noisy Quantum Dot Devices. CoRR (2021)
Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin, Jacob M. Taylor, Justyna P. Zwolak
Theoretical bounds on data requirements for the ray-based classification. CoRR (2021)
Justyna P. Zwolak, Sandesh S. Kalantre, Thomas McJunkin, Brian J. Weber, Jacob M. Taylor
Ray-based classification framework for high-dimensional data. CoRR (2020)
Vedran Dunjko, Yi-Kai Liu, Xingyao Wu, Jacob M. Taylor
Super-polynomial separations for quantum-enhanced reinforcement learning. CoRR (2017)
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Advances in quantum reinforcement learning. SMC (2017)
Joseph A. Smiga, Jacob M. Taylor
Optomechanical Analogy for Toy Cosmology with Quantized Scale Factor. Entropy 19 (9) (2017)
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Quantum-enhanced machine learning. CoRR (2016)
Jacob M. Taylor, Hans J. Briegel, Vedran Dunjko
Enhanced learning for agents in quantum-accessible environments. ESANN (2016)
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Framework for learning agents in quantum environments. CoRR (2015)
Karl D. Petersson, Louis W. McFaul, Michael D. Schroer, Minkyung Jung, Jacob M. Taylor, Andrew A. Houck, Jason R. Petta
Circuit quantum electrodynamics with a spin qubit. Nat. 490 (7420) (2012)
Jacob M. Taylor, M. D. Lukin
Dephasing of Quantum Bits by a Quasi-Static Mesoscopic Environment. Quantum Inf. Process. 5 (6) (2006)
Jonathan Ledlie, Jacob M. Taylor, Laura Serban, Margo I. Seltzer
Self-organization in peer-to-peer systems. ACM SIGOPS European Workshop (2002)