24 citations · 42 across the 7 of their papers we have counts for
8 papers
A quantum double-bracket algorithm for imaginary-time evolution with exponentially shorter depth
Ioannis Kolotouros, Raul Garcia-Patron
Imaginary-time evolution (ITE) is a widely used technique for preparing the ground state of a target Hamiltonian. Building on the recently proposed framework of Double-Bracket quan…
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…
Adiabatic quantum computing with parameterized quantum circuits
Ioannis Kolotouros, Ioannis Petrongonas, Miloš Prokop +1
Adiabatic quantum computing is a universal model for quantum computing whose implementation using a gate-based quantum computer requires depths that are unreachable in the early fa…
An evolving objective function for improved variational quantum optimisation
Ioannis Kolotouros, Petros Wallden
A promising approach to useful computational quantum advantage is to use variational quantum algorithms for optimisation problems. Crucial for the performance of these algorithms i…