activity
20162026
most citedMean-Field Approximate Optimization Algorithm

21 citations · 47 across the 12 of their papers we have counts for

collaborators

13 papers

quant-ph2026

Asymmetric quantum error correction efficiently tackles application-specific noise effects

Abhishek Yadav, Peter K. Schuhmacher, Michael Epping

Noise is a major challenge for current quantum computers. It can be broadly categorized into bit-flip and phase-flip errors. These two types do not necessarily affect the executed…

quant-ph2026

QCI Connect: A Modular Full-Stack Quantum Computing Platform

Eric Bertok, Hannes Busche, Florian Drinkler +17

In a world of various competing quantum computing architectures, hardware-agnostic, full-stack platforms are necessary to bring the full power of quantum computing hardware to doma…

quant-ph2026

Quantum Simulation of Magnetic Materials: from Ab-Initio to NISQ

Pascal Stadler, Florian G. Eich, Benedikt M. Schoenauer +5

Quantum computers are increasingly accessible, yet demonstrations of physically meaningful simulations for real materials remain scarce. In our work we simulate low-energy magnetic…

quant-ph2026

Reducing Quantum Error Mitigation Bias Using Verifiable Benchmark Circuits

Joseph Harris, Kevin Lively, Peter Schuhmacher

We present a simple, malleable and low-overhead approach for improving generic biased quantum error mitigation (QEM) methods, achieving up to 15% fidelity improvements over standar…

quant-ph2025

A mathematical justification to apply the secular approximation to the Redfield equation

Niklas J. Jung, Francesco Rosati, Gabriel L. Rath +2

Quantum master equations are widely used to describe the dynamics of open quantum systems. All these different master equations rely on specific approximations that may or may not…

quant-ph2024

Application-Aware Benchmarking on NISQ Hardware using Expectation Value Fidelities

Joseph Harris, Peter K. Schuhmacher

We present a low-cost protocol for benchmarking applications on generic quantum hardware in the circuit model. Using families of Clifford circuits which mimic the application circu…

quant-ph2024★ 2 cited

Quantum Software Ecosystem Design

Achim Basermann, Michael Epping, Benedikt Fauseweh +7

The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and prim…

quant-ph2023★ 21 cited

Mean-Field Approximate Optimization Algorithm

Aditi Misra-Spieldenner, Tim Bode, Peter K. Schuhmacher +3

The Quantum Approximate Optimization Algorithm (QAOA) is suggested as a promising application on early quantum computers. Here, a quantum-inspired classical algorithm, the mean-fie…

cond-mat.str-el2022★ 5 cited

Exact Continuum Representation of Long-range Interacting Systems and Emerging Exotic Phases in Unconventional Superconductors

Andreas A. Buchheit, Torsten Keßler, Peter K. Schuhmacher +1

Continuum limits are a powerful tool in the study of many-body systems, yet their validity is often unclear when long-range interactions are present. In this work, we rigorously ad…

quant-ph2020★ 3 cited

Quantum Simulation of a Discrete-Time Quantum Stochastic Walk

Peter K. Schuhmacher, Luke C. G. Govia, Bruno G. Taketani +1

Quantum walks have been shown to have a wide range of applications, from artificial intelligence, to photosynthesis, and quantum transport. Quantum stochastic walks (QSWs) generali…

quant-ph2018★ 3 cited

Gap-independent cooling and hybrid quantum-classical annealing

L. S. Theis, Peter K. Schuhmacher, M. Marthaler +1

In this letter we present an efficient gap-independent cooling scheme for a quantum annealer that benefits from finite temperatures. We choose a system based on superconducting flu…

quant-ph2016★ 9 cited

Quantum Simulation of a Quantum Stochastic Walk

Luke C. G. Govia, Bruno G. Taketani, Peter K. Schuhmacher +1

The study of quantum walks has been shown to have a wide range of applications in areas such as artificial intelligence, the study of biological processes, and quantum transport. T…

quant-ph2016★ 4 cited

On the physical realizability of quantum stochastic walks

Bruno G. Taketani, Luke C. G. Govia, Frank K. Wilhelm

Quantum walks are a promising framework that can be used to both understand and implement quantum information processing tasks. The quantum stochastic walk is a recently developed…