JoS QUANTUM is a quantum technology company.
Research Papers:
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Pauli Cloners for Pauli Channels
S. F. Kerstan, M. Gallezot, T. Decker, M. Braun, N. Hegemann (2026)Presents a quantum circuit architecture for one-to-two cloning of N-qubit registers, extending the Niu–Griffiths architecture. Explores the relationship between Pauli errors, mutually unbiased bases, and Pauli cloning.
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QKD as a Quantum Machine Learning task
T. Decker, M. Gallezot, S. F. Kerstan, A. Paesano (2025)Proposes considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. Investigates optimizing eavesdropping attacks on the BB84 protocol using QML.
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Quadratic Unconstrained Binary Optimization Approach for Incorporating Solvency Capital into Portfolio Optimization
I. Turkalj, M. Assadsolimani, M. Braun, P. Halffmann, N. Hegemann, S. Kerstan, J. Maciejewski, S. Sharma, Y. Zhou (2024)Incorporates Solvency Capital Requirement (SCR) into portfolio optimization using a quadratic proxy model suitable for QUBO. Uses machine learning to approximate the SCR function for quantum computing.
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Quantum amplitude estimation with error mitigation for time-evolving probabilistic networks
M. C. Braun, T. Decker, N. Hegemann, S. F. Kerstan, C. Maier, J. Ulmanis (2023)Presents a method to model discretized time evolution of probabilistic networks on gate-based quantum computers. Uses quantum amplitude estimation to evaluate network states and probabilities with error mitigation.
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Towards optimization under uncertainty for fundamental models in energy markets using quantum computers
M. C. Braun, T. Decker, N. Hegemann, S. F. Kerstan, F. Lorenz (2023)Formulates the unit commitment problem in energy production as a QUBO problem, considering uncertainties in renewable supply and demand. Shows how to find cost-saving solutions using quantum computers.
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Error Resilient Quantum Amplitude Estimation from Parallel Quantum Phase Estimation
M. C. Braun, T. Decker, N. Hegemann, S. F. Kerstan (2022)Shows how phase and amplitude estimation algorithms can be parallelized to reduce gate depth. Demonstrates that this parallelization leads to vast improvements in resilience against quantum errors.
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A Quantum Algorithm for the Sensitivity Analysis of Business Risks
M. C. Braun, T. Decker, N. Hegemann, S. F. Kerstan, C. Schäfer (2021)Presents a quantum algorithm for the sensitivity analysis of a risk model used at Deutsche Börse Group. Shows how the risk model can be implemented as a quantum circuit with quadratic speedup.
Patents (Pending/Granted):
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SECURITY PROOF OF QUANTUM COMMUNICATION PROTOCOLS
DE-102023129994-A1 (Priority: 2023-10-30) -
ML-BASED SECURITY PROOF OF QUANTUM COMMUNICATION PROTOCOLS WITH NOISY QUANTUM CHANNELS
DE-102023129996-A1 (Priority: 2023-10-30) -
ML-BASED SECURITY PROOF OF QUANTUM COMMUNICATION PROTOCOLS
DE-102023129995-A1 (Priority: 2023-10-30) -
Quantum computing device
EP-4177800-A1 (Pub. Date: 2023-05-10)
You can contact us via contact 'at' jos-quantum.de.
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