collaborators

12 papers

quant-ph2026

Quantum non-Markovian response spectra

Aaron Sander, John F. Kam, Gauthameshwar S. +2

Quantum systems are rarely isolated from their surroundings. These hidden environments can retain information and return it later, producing correlated errors in quantum computers…

quant-ph2026

Shuttling-aware dynamical decoupling for quantum charge-coupled devices

Linus Schulte, Aaron Sander, Robert Wille

Dynamical decoupling (DD) helps maintain high-fidelity quantum computations by suppressing dephasing noise through carefully timed refocusing pulses. In quantum charge-coupled devi…

quant-ph2026

Scalable Lindblad Noise Learning via Stochastic Tensor-Network Simulation

Alejandro R. Ramos Ramos, Maximilian Fröhlich, Aaron Sander +4

Learning dissipation rates in large-scale open quantum systems is a major obstacle for near-term quantum technologies, as existing Lindblad estimation methods are typically limited…

quant-ph2026

Basis-update and Galerkin time integration in canonical matrix-product-state form

Maximilian Fröhlich, Richard M. Milbradt, Martin Eigel +3

Matrix product state algorithms must enlarge their bond spaces as entanglement grows and compress them to control cost. We formulate basis-update and Galerkin (BUG) time integratio…

quant-ph2026

Complementary 3D color codes for transversal quantum logic

Friederike Butt, Luis Colmenarez, Erik Weilandt +3

Transversal logical gates provide a direct route to fault-tolerant quantum computation, but the Eastin-Knill theorem forbids a universal transversal gate set within a single quantu…

quant-ph2026

Noisy quantum circuit simulation with the tensor jump method

Maximilian Fröhlich, Aaron Sander, Martin Eigel +2

Classical simulation of noisy quantum circuits is essential for validating algorithms, benchmarking hardware, and assessing error-mitigation strategies, but remains limited by the…

quant-ph2026

Computational regimes in matrix-product-state-based quantum trajectory simulations

Aaron Sander, Simon Cichy, Martin Eigel +4

Efficient simulation of open quantum systems is central to modeling noisy quantum hardware and many-body dynamics. In trajectory-based tensor network methods, cost is often associa…

quant-ph2026

Synthesis and Optimization of Encoding Circuits for Fault-Tolerant Quantum Computation

Tom Peham, Matthew Steinberg, Robert Wille +1

Preparing arbitrary logical states is a central primitive for universal fault-tolerant quantum computation and the cost of encoded-state preparation contributes directly to the ove…

quant-ph2026

Synthesis of Fault-tolerant State Preparation Circuits using Steane-type Error Detection

Erik Weilandt, Tom Peham, Robert Wille

Fault-tolerant state preparation is essential for reliable quantum error correction, particularly in Steane-type error correction, which relies on robust ancilla states for syndrom…

quant-ph2026

Optimizing Fault-tolerant Cat State Preparation

Tom Peham, Erik Weilandt, Robert Wille

Cat states are an important resource for fault-tolerant quantum computing, where they serve as building blocks for a variety of fault-tolerant primitives. Consequently, the ability…

quant-ph2025

Minimizing the Number of Code Switching Operations in Fault-Tolerant Quantum Circuits

Erik Weilandt, Tom Peham, Robert Wille

Fault-tolerant quantum computers rely on Quantum Error-Correcting Codes (QECCs) to protect information from noise. However, no single error-correcting code supports a fully transve…

quant-ph2025

Scoring-based Static Variable Ordering for Decision Diagram-based Quantum Circuit Simulation

Yusuke Kimura, Masahiro Fujita, Robert Wille

Decision diagram (DD)-based quantum circuit simulators represent quantum states and gates using DDs, enabling memory-efficient and fast simulations for some quantum circuits like S…