collaborators

7 papers

quant-ph2026

Fast and accurate AI-based pre-decoders for color codes

Jan Olle, Christopher Chamberland, Muyuan Li +1

Color codes are promising alternatives to surface codes for universal fault-tolerant quantum computing due to their simpler lattice-surgery protocols and the transversal implementa…

quant-ph2026

Fast and accurate AI-based pre-decoders for surface codes

Christopher Chamberland, Jan Olle, Muyuan Li +2

Fast, scalable decoding architectures that operate in a block-wise parallel fashion across space and time are essential for real-time fault-tolerant quantum computing. We introduce…

quant-ph2026

Unitary fault-tolerant encoding of Pauli states in surface codes

Luis Colmenarez, Remmy Zen, Jan Olle +2

In fault-tolerant quantum computation, the preparation of logical states is a ubiquitous subroutine, yet significant challenges persist even for the simplest states required. In th…

quant-ph2025

Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors

Shane A. Caldwell, Moein Khazraee, Elena Agostini +27

We propose an architecture, called NVQLink, for connecting high-performance computing (HPC) resources to the control system of a quantum processing unit (QPU) to accelerate workloa…

cs.LG2025

Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning

Maximilian Nägele, Jan Olle, Thomas Fösel +2

Markov decision processes (MDPs) are used to model a wide variety of applications ranging from game playing over robotics to finance. Their optimal policy typically maximizes the e…

quant-ph2025

Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

Jan Olle, Oleg M. Yevtushenko, Florian Marquardt

Reinforcement Learning (RL) has established itself as a powerful tool for designing quantum circuits, which are essential for processing quantum information. RL applications have t…