5 citations · 15 across the 7 of their papers we have counts for
7 papers
QB Ground State Energy Estimation Benchmark
Nicole Bellonzi, Joshua T. Cantin, Mohammad Reza Jangrouei +14
Ground State Energy Estimation (GSEE) is a central problem in quantum chemistry and condensed matter physics, demanding efficient algorithms to solve complex electronic structure c…
Role of symmetry-forbidden transitions in resonant inelastic X-ray scattering emission from materials with trapped molecular O
Maxwell D. Radin, Alexander Kunitsa
Oxygen resonant inelastic X-ray scattering has become a prominent tool for unveiling the electronic structure of solids, especially redox mechanisms in Li-rich cathode materials. A…
Experimental demonstration of Robust Amplitude Estimation on near-term quantum devices for chemistry applications
Alexander Kunitsa, Nicole Bellonzi, Shangjie Guo +4
This study explores hardware implementation of Robust Amplitude Estimation (RAE) on IBM quantum devices, demonstrating its application in quantum chemistry for one- and two-qubit H…
Feasibility of accelerating homogeneous catalyst discovery with fault-tolerant quantum computers
Nicole Bellonzi, Alexander Kunitsa, Joshua T. Cantin +16
The industrial manufacturing of chemicals consumes a significant amount of energy and raw materials. In principle, the development of new catalysts could greatly improve the effici…
Comparing Classical and Quantum Ground State Preparation Heuristics
Katerina Gratsea, Jakob S. Kottmann, Peter D. Johnson +1
One promising field of quantum computation is the simulation of quantum systems, and specifically, the task of ground state energy estimation (GSEE). Ground state preparation (GSP)…
Near-term quantum algorithm for computing molecular and materials properties based on recursive variational series methods
Phillip W. K. Jensen, Peter D. Johnson, Alexander A. Kunitsa
Determining the properties of molecules and materials is one of the premier applications of quantum computing. A major question in the field is: how might we use imperfect near-ter…
Reducing the cost of energy estimation in the variational quantum eigensolver algorithm with robust amplitude estimation
Peter D. Johnson, Alexander A. Kunitsa, Jérôme F. Gonthier +5
Quantum chemistry and materials is one of the most promising applications of quantum computing. Yet much work is still to be done in matching industry-relevant problems in these ar…