Daniel Crawford
Cited by
Cited by
Reinforcement learning using quantum Boltzmann machines
D Crawford, A Levit, N Ghadermarzy, JS Oberoi, P Ronagh
arXiv preprint arXiv:1612.05695, 2016
Free energy-based reinforcement learning using a quantum processor
A Levit, D Crawford, N Ghadermarzy, JS Oberoi, E Zahedinejad, ...
arXiv preprint arXiv:1706.00074, 2017
Making climate data sing: using music-like sonifications to convey a key climate record
SS George, D Crawford, T Reubold, E Giorgi
Bulletin of the American Meteorological Society 98 (1), 23-27, 2017
Free Energy-Based Reinforcement Learning Using Quantum Monte Carlo and Quantum Annealing
P Ronagh, A Levit, D Crawford, N Ghadermarzy, J Oberoi, E Zahedinejad
APS 2018, P34. 010, 2018
A song of our warming planet: using music to communicate critical concepts in climate science
S St George, D Crawford, T Reubold
AGUFM 2014, PA14A-08, 2014
High-temperature Majorana fermions in magnet-superconductor hybrid systems
D Crawford, E Mascot, DK Morr, S Rachel
Physical Review B 101 (17), 174510, 2020
Ultra high resolution imaging and analysis in dendrochronology
D Griffin, C McFadden, M Nusseihbeh, K Carlson, M Trumper, D Crawford, ...
AGUFM 2019, B44F-16, 2019
Anatomy, Allometry, and Climate: Assessment of Multiple Quercus macrocarpa Tree Ring Parameters at the Cedar Creek Ecosystem Science Reserve, MN
D Crawford, D Griffin
AGUFM 2019, B44F-15, 2019
Adiabatic Quantum Kitchen Sinks for Learning Kernels Using Randomized Features
M Noori, SS Vedaie, I Singh, D Crawford, JS Oberoi, BC Sanders, ...
arXiv preprint arXiv:1909.08131, 2019
Quantum processor and its use for implementing a neural network
P Ronagh, A Levit, D Crawford
US Patent 10,229,355, 2019
Multi-Community Detection in Signed Graphs Using Quantum Hardware
E Zahedinejad, D Crawford, C Adolphs, JS Oberoi
arXiv preprint arXiv:1901.04873, 2019
Method for estimating the thermodynamic properties of a quantum ising model with transverse field
P Ronagh, A Levit, E Zahedinejad, D Crawford
US Patent App. 15/831,751, 2018
Reinforcement Learning via Replica Stacking of Quantum Measurements for the Training of Quantum Boltzmann Machines
A Levit, D Crawford, N Ghadermarzy, JS Oberoi, E Zahedinejad, ...
Method and system for improving a policy for a stochastic control problem
D Crawford, P Ronagh, A Levit
US Patent App. 15/590,614, 2017
Reinforcement Learning via Boltzmann Machines Implemented on Quantum Annealers
A Levit, D Crawford, P Ronagh, J Oberoi, N Ghadermarzy
AGUFM 2016, IN11D-1644, 2016
Monotone optimal policies in portfolio liquidation problems
D Crawford, V Krishnamurthy
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
Monotone optimal policies for quasivariational inequalities arising in optimal portfolio liquidation
DJ Crawford
University of British Columbia, 2014
Quantum Reinforcement Learning
D Crawford, A Levit, N Ghadermarzy, JS Oberoi, P Ronagh
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