18 citations · 23 across the 3 of their papers we have counts for
8 papers
Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
Luning Zhao, Joshua J. Goings, Willie Aboumrad +38
We demonstrate an end-to-end workflow to model chemical reaction barriers with the quantum-classical auxiliary field quantum Monte Carlo (QC-AFQMC) algorithm with quantum tomograph…
Predicting Properties of Quantum Systems with Conditional Generative Models
Haoxiang Wang, Maurice Weber, Josh Izaac +1
Machine learning has emerged recently as a powerful tool for predicting properties of quantum many-body systems. For many ground states of gapped Hamiltonians, generative models ca…
End-to-end resource analysis for quantum interior point methods and portfolio optimization
Alexander M. Dalzell, B. David Clader, Grant Salton +8
We study quantum interior point methods (QIPMs) for second-order cone programming (SOCP), guided by the example use case of portfolio optimization (PO). We provide a complete quant…
Differentiable quantum computational chemistry with PennyLane
Juan Miguel Arrazola, Soran Jahangiri, Alain Delgado +15
This work describes the theoretical foundation for all quantum chemistry functionality in PennyLane, a quantum computing software library specializing in quantum differentiable pro…
General parameter-shift rules for quantum gradients
David Wierichs, Josh Izaac, Cody Wang +1
Variational quantum algorithms are ubiquitous in applications of noisy intermediate-scale quantum computers. Due to the structure of conventional parametrized quantum gates, the ev…
Quantum SDP Solvers: Large Speed-ups, Optimality, and Applications to Quantum Learning
Fernando G. S. L. Brandão, Amir Kalev, Tongyang Li +3
We give two quantum algorithms for solving semidefinite programs (SDPs) providing quantum speed-ups. We consider SDP instances with constraint matrices, each of dimension ,…