most citedMixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams

4 citations · 4 across the 1 of their papers we have counts for

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quant-ph2025

Node Replacement based Approximate Quantum Simulation with Decision Diagrams

Yexin Yan, Stefan Hillmich, Robert Wille +1

Simulating a quantum circuit with a classical computer requires exponentially growing resources. Decision diagrams exploit the redundancies in quantum circuit representation to eff…

quant-ph20244 cited

Mixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams

Kevin Mato, Stefan Hillmich, Robert Wille

Quantum computers have the potential to solve important problems which are fundamentally intractable on a classical computer. The underlying physics of quantum computing platforms…

quant-ph2024

Shuttling for Scalable Trapped-Ion Quantum Computers

Daniel Schoenberger, Stefan Hillmich, Matthias Brandl +1

Trapped-ion quantum computers exhibit promising potential to provide platforms for high-quality qubits and reliable quantum computation. The Quantum Charge Coupled Device (QCCD) ar…

quant-ph2023

Using Boolean Satisfiability for Exact Shuttling in Trapped-Ion Quantum Computers

Daniel Schoenberger, Stefan Hillmich, Matthias Brandl +1

Trapped ions are a promising technology for building scalable quantum computers. Not only can they provide a high qubit quality, but they also enable modular architectures, referre…

quant-ph20231 cited

Mixed-Dimensional Quantum Circuit Simulation with Decision Diagrams

Kevin Mato, Stefan Hillmich, Robert Wille

Quantum computers promise to solve several categories of problems faster than classical computers ever could. Current research mostly focuses on qubits, i.e., systems where the uni…