From the 1 of 8 linked papers with an AI index.
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Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction
Emmanouil Giortamis, Aleksandra Åwierkowska, Aleksandra Świerkowska +4
Quantum error correction (QEC) is the most promising route toward fault-tolerant quantum computing and, thus, useful quantum computers. QEC operates as a continuous measure-decode-…
Multi-Stage Mamba-Based Architecture for Fast and Scalable Superconducting Qubit Readout
Luca Otting, Xiaorang Guo, Emmanouil Giortamis +3
The paper proposes a lightweight, multi-stage neural architecture based on the Mamba model to improve the speed and fidelity of superconducting qubit readout, especially in frequen…
Protocol for Purifying Noisy Preparation and Measurements of Qubits
Jaemin Kim, Seungchan Seo, Jiyoung Yun +2
Noise affecting qubit preparation and measurements accounts for a significant fraction of errors in quantum information processing. This is especially critical in tasks like variat…
MCMit: Hardware-Software Co-Design for Mid-Circuit Measurement Error Mitigation
Emmanouil Giortamis, Felix Gust, Aleksandra Świerkowska +8
Distributed Quantum Computing (DQC) and Quantum Error Correction (QEC) rely on dynamic circuits that include Mid-Circuit Measurements (MCMs) and classical feedback. These operation…
Superconducting Qubit Readout Using Next-Generation Reservoir Computing
Robert Kent, Benjamin Lienhard, Gregory Lafyatis +1
Quantum processors require rapid and high-fidelity simultaneous measurements of many qubits. While superconducting qubits are among the leading modalities toward a useful quantum p…
Efficient and Scalable Architectures for Multi-Level Superconducting Qubit Readout
Chaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard +1
Realizing the full potential of quantum computing requires large-scale quantum computers capable of running quantum error correction (QEC) to mitigate hardware errors and maintain…