Quantum Systems @ TUMLab
Projects

Readout and Control

Qubit readout hardware connected to a classical feedback controller

Overview

Quantum measurements connect qubit states to classical control. Their accuracy and latency affect circuit execution and quantum error correction.

We study readout signals, state classifiers, and feedback paths. Our work combines hardware control with compiler transformations and experimental readout data.

Approach

  1. MCMit combines a branch instruction, neural classifiers, and compiler transformations for measurements during circuit execution.
  2. Oraqle evaluates how readout duration and classifier complexity affect quantum error correction.
  3. Mamba Readout uses classification and refinement stages to identify qubit states from readout sequences.

Papers

MCMit: Hardware-Software Co-Design for Mid-circuit Measurement Error Mitigation, first page
MICRO2026

MCMit: Hardware-Software Co-Design for Mid-circuit Measurement Error Mitigation

Emmanouil Giortamis, Felix Gust, Aleksandra Swierkowska, Sandra Stankovic, Innocenzo Fulginiti, Yanbin Chen, Xiaorang Guo, Benjamin Lienhard, Martin Schulz, Pramod Bhatotia

Paper
Multi-Stage Mamba-Based Architecture for Fast and Scalable Superconducting Qubit Readout, first page
QCE2026

Multi-Stage Mamba-Based Architecture for Fast and Scalable Superconducting Qubit Readout

Luca Otting, Xiaorang Guo, Emmanouil Giortamis, Benjamin Lienhard, Pramod Bhatotia, Martin Schulz

Paper
Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction, first page
arXiv2026

Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction

Emmanouil Giortamis, Aleksandra Swierkowska, Sandra Stankovic, Felix Gust, Benjamin Lienhard, Pramod Bhatotia

Paper