A brief overview of information measures on classical, discrete probability distributions. Tech. Note 009 v0.8 [ Full Text ]
Article: Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule
The Parameter Shift Rule is a cunning, recently developed method for evaluation gradients of quantum circuits on a quantum computer. But it has two problems…
Gavin E. Crooks (2020)
Notes on the circuit model of quantum computing. Currently mostly an exposition on the menagerie of quantum gates.
QuantumFlow: A Quantum Algorithms Development Toolkit and Cross Compiler
For a native gate set which includes all single-qubit gates, we apply results from symplectic geometry to analyze the spaces of two-qubit programs accessible...
Journal of Lost Papers: On the divergence between two distributions and the probability of misclassification of several decision rules
The (virtual) Journal of Lost Papers: Article 001
The Weyl chamber of canonical non-local 2-qubit gates. Papercraft meets quantum computing. Print, cut, fold, and paste.
Mayor server upgrade. The old server was getting very old and crufty. WebLogo moved to a shiny new AWS instance, with up to date installations of linux, apac...
Preprint: Gradients of parameterized quantum gates using the parameter-shift rule and gate decomposition
The parameter-shift rule is an approach to measuring gradients of quantum circuits with respect to their parameters, which does not require ancilla qubits or...
Survey of over 170 continuous univariate probability distributions (and at least as many synonyms) organized into 20 families. First dead tree edition.
Gavin E. Crooks and Susanne Still, EPL 125:40005 (2019).
3.7 (2019-03-04) [Gavin Crooks] Refactor and cleanup code, removing python 2.7 support Extend API documentation WebLogo python package is now ‘webl...
Gavin E. Crooks, arXiv: 1811.08419 (2018) [ PDF | Code]
Announcing QuantumFlow, a python package that emulates a gate based quantum computer using modern optimized tensor libraries (numpy, TensorFlow, or torch). ...
A brief overview of information measures on classical, discrete probability distributions. Tech. Note 009 v0.7 [ Full Text ]
C. M. Wilson, J. S. Otterbach, N. Tezak, Robert S. Smith, Gavin E. Crooks, and Marcus P. da Silva, arXiv:1806.08321 (2018)
Article: Quantifying configuration-sampling error in Langevin simulations of complex molecular systems
Josh Fass, David A. Sivak, Gavin E. Crooks, Kyle A. Beauchamp, Benedict Leimkuhler, and John D. Chodera Entropy, 20(5):318 (2018).