Article: Thermodynamic Linear Algebra
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
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Upcoming: 2024-03-20, U. Chicago, Computations in Science Seminar
Upcoming: 2024-03-20, U. Chicago, Computations in Science Seminar
Talk: U. Maryland Physics Colloquium: Thermodynamic Linear Algebra
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
Talk: Rutgers University 125th Statistical Mathematics Conference: Thermodynamic Linear Algebra
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
Presentation: NeurIPS 2023 (New Orleans) Physics Colloquium: Thermodynamic AI and Thermodynamic Linear Algebra
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
Talk: Berkeley Physics Colloquium: Thermodynamic Linear Algebra
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
Talk: Berkeley Stat. Mech. Seminar: Thermodynamic Linear Algebra
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
Article: Protein–ligand binding free-energy calculations with ARROW – A purely first-principles parameterized polarizable force field
Protein−ligand binding free-energy calculations using molecular dynamics (MD) simulations have emerged as a powerful tool for in silico drug design. Here, we...
Tech. Note 009 v0.8: On Measures of Information and Entropy 009 v0.8
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…
qf-diamond-norm v1.0.0: QuantumFlow Diamond Norm
Gavin E. Crooks (2020)
Tech. Note: Gates, States, and Circuits
Notes on the circuit model of quantum computing. Currently mostly an exposition on the menagerie of quantum gates.
QuantumFlow v1.0.0:
QuantumFlow: A Quantum Algorithms Development Toolkit and Cross Compiler
gecrooks-python-template: Minimal viable setup for an open source, github hosted, python package
Source
Article: Two-Qubit Circuit Depth and the Monodromy Polytope
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
Tech. Note: On the Weyl chamber of canonical non-local 2-qubit gates
The Weyl chamber of canonical non-local 2-qubit gates. Papercraft meets quantum computing. Print, cut, fold, and paste.
WebLogo 3.7.4 Released
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...
Book: Field Guide to Continuous Probability Distributions, 1st Edition
Survey of over 170 continuous univariate probability distributions (and at least as many synonyms) organized into 20 families. First dead tree edition.
Article: Marginal and Conditional Second Laws of Thermodynamics
Gavin E. Crooks and Susanne Still, EPL 125:40005 (2019).
WebLogo 3.7 Released
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...
Preprint: Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem
Gavin E. Crooks, arXiv: 1811.08419 (2018) [ PDF | Code]
QuantumFlow: A Quantum Algorithms Development Toolkit v0.7
Announcing QuantumFlow, a python package that emulates a gate based quantum computer using modern optimized tensor libraries (numpy, TensorFlow, or torch). ...
Tech. Note 009 v0.7: On Measures of Information and Entropy 009 v0.7
A brief overview of information measures on classical, discrete probability distributions. Tech. Note 009 v0.7 [ Full Text ]
Preprint: Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
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).
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