2 citations · 2 across the 3 of their papers we have counts for
5 papers
Quantum Elastic Network Models and their Application to Graphene
Ioannis Kolotouros, Adithya Sireesh, Stuart Ferguson +3
Molecular dynamics simulations are a central computational methodology in materials design for relating atomic composition to mechanical properties. However, simulating materials w…
Adiabatic-Inspired Hybrid Quantum-Classical Methods for Molecular Ground State Preparation
Sean Thrasher, Ioannis Kolotouros, Julien Michel +1
Quantum computing promises to efficiently and accurately solve many important problems in quantum chemistry which elude classical solvers, such as the electronic structure problem…
Accelerating quantum imaginary-time evolution with random measurements
Ioannis Kolotouros, David Joseph, Anand Kumar Narayanan
Quantum imaginary-time evolution (QITE) is a promising tool to prepare thermal or ground states of Hamiltonians, as convergence is guaranteed when the evolved state overlaps with t…
Big data applications on small quantum computers
Boniface Yogendran, Daniel Charlton, Miriam Beddig +2
Current quantum hardware prohibits any direct use of large classical datasets. Coresets allow for a succinct description of these large datasets and their solution in a computation…
Random Natural Gradient
Ioannis Kolotouros, Petros Wallden
Hybrid quantum-classical algorithms appear to be the most promising approach for near-term quantum applications. An important bottleneck is the classical optimization loop, where t…