From b02785341f73a6f97a364b05bf17152fbf1f7582 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Sch=C3=B6nberger?= <101660501+danielschoenberger@users.noreply.github.com> Date: Thu, 7 Nov 2024 13:11:56 +0100 Subject: [PATCH] Update README.md MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Daniel Schönberger <101660501+danielschoenberger@users.noreply.github.com> --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8eafed5..dcceea3 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ # MQT IonShuttler -This a tool for generating shuttling schedules for grid-like memory zones inside trapped-ion quantum computers. The tool supports optimal shuttling schedules for small architectures and also includes a preliminary option to produce heuristic shuttling schedules for large devices. The optimal solution is based on the paper *Using Boolean Satisfiability for Exact Shuttling in Trapped-Ion Quantum Computers* by D. Schoenberger, S. Hillmich, M. Brandl, and R. Wille in ASP-DAC 2024. The heuristic solution is based on the paper *Shuttling for Scalable Trapped-Ion Quantum Computers* by D. Schoenberger, S. Hillmich, M. Brandl, and R. Wille. +This a tool for generating shuttling schedules for grid-like trapped-ion quantum computers. The tool supports optimal shuttling schedules for small architectures and heuristic shuttling schedules for large devices. The optimal solution is based on the paper *Using Boolean Satisfiability for Exact Shuttling in Trapped-Ion Quantum Computers* by D. Schoenberger, S. Hillmich, M. Brandl, and R. Wille in ASP-DAC 2024. The heuristic solution is based on the paper *Shuttling for Scalable Trapped-Ion Quantum Computers* by D. Schoenberger, S. Hillmich, M. Brandl, and R. Wille. MQT IonShuttler is part of the [_Munich Quantum Toolkit_](https://mqt.readthedocs.io) (_MQT_) developed by the [Chair for Design Automation](https://www.cda.cit.tum.de/) at the [Technical University of Munich](https://www.tum.de/).