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From the 1 of 8 linked papers with an AI index.

activity
20242026
most citedPhase estimation with partially randomized time evolution

2 citations · 4 across the 4 of their papers we have counts for

collaborators

8 papers

quant-ph20261 cited

phase2: Full-State Vector Simulation of Quantum Time Evolution at Scale

Marek Miller, Jakob Günther, Freek Witteveen +5

phase2 is a full-state-vector quantum simulator that efficiently handles many-qubit Pauli rotation circuits on distributed CPU/GPU clusters, achieving large speedups and scaling to…

quant-ph20262 cited

Phase estimation with partially randomized time evolution

Jakob Günther, Freek Witteveen, Alexander Schmidhuber +3

Quantum phase estimation combined with Hamiltonian simulation is the most promising algorithmic framework to computing ground state energies on quantum computers. Its main computat…

quant-ph2026

Analogue quantum simulation with polylogarithmic interaction strengths by extrapolating within phases of matter

Dylan Harley, Matthias Christandl

Simple families of quantum Hamiltonians can simulate general many-body systems at arbitrary precision through the use of perturbative gadgets, however this generally requires inter…

quant-ph20261 cited

Perfect Wave Transfer in Continuous Quantum Systems

Per Moosavi, Matthias Christandl, Gian Michele Graf +1

The transfer of information from one part of a quantum system to another is fundamental to the understanding and design of quantum information processing devices. In the realm of d…

quant-ph2025

Adiabatic preparation of many-body quantum states: getting the beginning and ending right

Emil T. M. Pedersen, Freek Witteveen, Klaus Mølmer +1

We present numerical calculations, and simulations performed on a Rydberg atom quantum simulator, of the adiabatic evolution of many-body quantum systems around a quantum phase tra…

quant-ph2025

How to use quantum computers for biomolecular free energies

Jakob Günther, Thomas Weymuth, Moritz Bensberg +18

Free energy calculations are at the heart of physics-based analyses of biochemical processes. They allow us to quantify molecular recognition mechanisms, which determine a wide ran…