51 citations · 111 across the 6 of their papers we have counts for
6 papers
Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers
Alexander Miessen
Quantum mechanical problems are among the hardest to simulate and, in some cases, remain intractable even for the most powerful computers. Quantum computing has emerged as a new te…
Benchmarking digital quantum simulations above hundreds of qubits using quantum critical dynamics
Alexander Miessen, Daniel J. Egger, Ivano Tavernelli +1
The real-time simulation of large many-body quantum systems is a formidable task, that may only be achievable with a genuine quantum computational platform. Currently, quantum hard…
Quantum data learning for quantum simulations in high-energy physics
Lento Nagano, Alexander Miessen, Tamiya Onodera +3
Quantum machine learning with parametrised quantum circuits has attracted significant attention over the past years as an early application for the era of noisy quantum processors.…
A Hybrid Quantum-Classical Method for Electron-Phonon Systems
M. Michael Denner, Alexander Miessen, Haoran Yan +4
Interactions between electrons and phonons play a crucial role in quantum materials. Yet, there is no universal method that would simultaneously accurately account for strong elect…
Quantum algorithms for grid-based variational time evolution
Pauline J Ollitrault, Sven Jandura, Alexander Miessen +4
The simulation of quantum dynamics calls for quantum algorithms working in first quantized grid encodings. Here, we propose a variational quantum algorithm for performing quantum d…
Quantum algorithms for quantum dynamics: A performance study on the spin-boson model
Alexander Miessen, Pauline J. Ollitrault, Ivano Tavernelli
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator. This approach typically relies o…