collaborators

6 papers

quant-ph2025

The impact of noise on the simulation of NMR spectroscopy on NISQ devices

Andisheh Khedri, Pascal Stadler, Kirsten Bark +5

With the surge of quantum computing platforms that continue to push the boundaries of capabilities of noisy intermediate-scale quantum computers, there is a growing interest in fin…

quant-ph2025

Describing Trotterized Time Evolutions on Noisy Quantum Computers via Static Effective Lindbladians

Keith R. Fratus, Kirsten Bark, Nicolas Vogt +4

We consider the extent to which a Trotterized time evolution implemented on a quantum computer is altered by the presence of decoherence. Given a specific set of assumptions regard…

quant-ph2025

Post-processing noisy quantum computations utilizing N-representability constraints

Tomislav Piskor, Florian G. Eich, Michael Marthaler +2

We propose and analyze a method for improving quantum chemical energy calculations on a quantum computer impaired by decoherence and shot noise. The error mitigation approach relie…

quant-ph2025

Quantum algorithms for simulating systems coupled to bosonic modes using a hybrid resonator-qubit quantum computer

Juha Leppäkangas, Pascal Stadler, Dmitry Golubev +14

Modeling composite systems of spins or electrons coupled to bosonic modes is of significant interest for many fields of applied quantum physics and chemistry. A quantum simulation…

quant-ph2025

Variational quantum thermalizers based on weakly-symmetric nonunitary multi-qubit operations

Elias Zapusek, Kristina Kirova, Walter Hahn +2

We propose incorporating multi-qubit nonunitary operations in Variational Quantum Thermalizers (VQTs). VQTs are hybrid quantum-classical algorithms that generate the thermal (Gibbs…

quant-ph2025

Demonstration of system-bath physics on a gate-based quantum computer

Pascal Stadler, Matteo Lodi, Andisheh Khedri +5

Algorithmic cooling can be used to find correlated states of many-body quantum systems. It is based on quantum circuits that perform nonunitary operations, whose implementation can…