Autonomous quantum processing unit: an autonomous thermal computing machine & its physical limitations

Computation is an input-output process, where a program encoding a problem to be solved is inserted into a machine that outputs a solution. Quantum computation conventionally relies on classical, external control outside the quantum computer to execute a program, obscuring computational and thermodynamic resources required. To understand the fundamental limits of computation, however, it is pivotal to work with a fully self-contained description of a quantum computation modeling the resources on the same footing as the computation itself. By developing a framework that we dub the autonomous Quantum Processing Unit (aQPU) we model quantum computation in the framework of autonomous thermal machines. Consisting of an internal quantum timekeeping mechanism, instruction register and memory system the aQPU allows investigating relationships between thermodynamic cost, complexity, speed and fidelity of a desired quantum computation.

Authors

Institutions

Publication Details

Journal
Reports on Progress in Physics
Published
2026-06-12
DOI
https://doi.org/10.1088/1361-6633/ae7b82
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous quantum processing unit: an autonomous thermal computing machine & its physical limitations

Marcus Huber, Florian Meier, Jake Xuereb, Paul Erker
Reports on Progress in Physics
Quantum Computing Algorithms and Architecture
article

Autonomous quantum processing unit: an autonomous thermal computing machine & its physical limitations

Marcus Huber, Florian Meier, Jake Xuereb, Paul Erker
article en

Abstract

Computation is an input-output process, where a program encoding a problem to be solved is inserted into a machine that outputs a solution. Quantum computation conventionally relies on classical, external control outside the quantum computer to execute a program, obscuring computational and thermodynamic resources required. To understand the fundamental limits of computation, however, it is pivotal to work with a fully self-contained description of a quantum computation modeling the resources on the same footing as the computation itself. By developing a framework that we dub the autonomous Quantum Processing Unit (aQPU) we model quantum computation in the framework of autonomous thermal machines. Consisting of an internal quantum timekeeping mechanism, instruction register and memory system the aQPU allows investigating relationships between thermodynamic cost, complexity, speed and fidelity of a desired quantum computation.

Reports on Progress in Physics
TU Wien (AT)
European Commission, European Research Council
Openalex Percentile: Top 4%
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.

Autonomous quantum processing unit: an autonomous thermal computing machine & its physical limitations — Marcus Huber, Florian Meier, et al. · Reports on Progress in Physics (2026) | TGRS Research Map | TGRS