RESCQ: Realtime Scheduling for Continuous Angle Quantum Error Correction Architectures

In order to realize large scale quantum error correction (QEC), resource states, such as |T〉, must be prepared which is expensive in both space and time. In order to circumvent this problem, alternatives have been proposed, such as the production of continuous angle rotation states [1, 6, 34]. However, the production of these states is non-deterministic and may require multiple repetitions to succeed. The original proposals suggest architectures which do not account for realtime (or dynamic) management of resources to minimize total execution time. Without a realtime scheduler, a statically generated schedule will be unnecessarily expensive. We propose RESCQ (pronounced rescue), a realtime scheduler for programs compiled onto these continuous angle systems. Our scheme actively minimizes total cycle count by on-demand redistribution of resources based on expected production rates. Depending on the underlying hardware, this can cause excessive classical control overhead. We further address this by dynamically selecting the frequency of our recomputation. RESCQ improves over baseline proposals by an average of 2x in cycle count.

Authors

Institutions

Publication Details

Published
2025-03-27
DOI
https://doi.org/10.1145/3676641.3716018
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RESCQ: Realtime Scheduling for Continuous Angle Quantum Error Correction Architectures

Jonathan M. Baker, S. Prakash Sethi
Quantum Computing Algorithms and Architecture
article

RESCQ: Realtime Scheduling for Continuous Angle Quantum Error Correction Architectures

Jonathan M. Baker, S. Prakash Sethi
article en

Abstract

In order to realize large scale quantum error correction (QEC), resource states, such as |T〉, must be prepared which is expensive in both space and time. In order to circumvent this problem, alternatives have been proposed, such as the production of continuous angle rotation states [1, 6, 34]. However, the production of these states is non-deterministic and may require multiple repetitions to succeed. The original proposals suggest architectures which do not account for realtime (or dynamic) management of resources to minimize total execution time. Without a realtime scheduler, a statically generated schedule will be unnecessarily expensive. We propose RESCQ (pronounced rescue), a realtime scheduler for programs compiled onto these continuous angle systems. Our scheme actively minimizes total cycle count by on-demand redistribution of resources based on expected production rates. Depending on the underlying hardware, this can cause excessive classical control overhead. We further address this by dynamically selecting the frequency of our recomputation. RESCQ improves over baseline proposals by an average of 2x in cycle count.

The University of Texas at Austin (US)
Openalex Percentile: Top 97%
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

RESCQ: Realtime Scheduling for Continuous Angle Quantum Error Correction Architectures — Jonathan M. Baker, S. Prakash Sethi · (2025) | TGRS Research Map | TGRS