1 citations · 2 across the 6 of their papers we have counts for
6 papers
Hardware Efficient Quantum Kernels Using Multimode Bulk Acoustic Resonators
Collin C. D. Frink, Chaoyang Ti, Stephen K. Gray +2
The kernel trick is a widely applicable technique in machine learning domains that maps datasets that are difficult to classify into a computationally friendly feature space. As th…
Non-unitary Variational Quantum Eigensolver with the Localized Active Space Method and Cost Mitigation
Qiaohong Wang, Ruhee D'Cunha, Abhishek Mitra +4
Accurately describing strongly correlated systems with affordable quantum resources remains a central challenge for quantum chemistry applications on near and intermediate-term qua…
QREChem: Quantum Resource Estimation Software for Chemistry Applications
Matthew Otten, Byeol Kang, Dmitry Fedorov +4
As quantum hardware continues to improve, more and more application scientists have entered the field of quantum computing. However, even with the rapid improvements in the last fe…
The Localized Active Space Method with Unitary Selective Coupled Cluster
Abhishek Mitra, Ruhee D'Cunha, Qiaohong Wang +5
We introduce a hybrid quantum-classical algorithm, the localized active space unitary selective coupled cluster singles and doubles (LAS-USCCSD) method. Derived from the localized…
Quantum time dynamics mediated by the Yang-Baxter equation and artificial neural networks
Sahil Gulania, Yuri Alexeev, Stephen K. Gray +2
Quantum computing shows great potential, but errors pose a significant challenge. This study explores new strategies for mitigating quantum errors using artificial neural networks…
Hybrid algorithm for the time-dependent Hartree-Fock method using the Yang-Baxter equation on quantum computers
Sahil Gulania, Stephen K. Gray, Yuri Alexeev +2
The time-dependent Hartree-Fock (TDHF) method is an approach to simulate the mean field dynamics of electrons within the assumption that the electrons move independently in their s…