2024/01/31 by Florian Meier, Meier, Florian, Marcus Huber +5 · 1 voice · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Algorithm #Computation #Computer science #Construct (python library) #Encoding (memory) #Mathematics #Open quantum system #Physics #Programming language #Quantum #Quantum Computing Algorithms and Architecture #Quantum Mechanics and Applications #Quantum algorithm #Quantum computer #Quantum information #Quantum information processing #Quantum many-body systems #Quantum mechanics #Theoretical computer science #Thermal #Unit (ring theory) #Work (physics) #quant-ph
paper · pdf · open access · doi:10.1088/1361-6633/ae7b82
published in Reports on Progress in Physics 89(7), 077601 (IOP Publishing) · 7 + 20 pages, comments welcome
openalex publication_date 2026/06/12 · openalex created_date 2026/06/13 · openalex updated_date 2026/07/22 · arxiv created 2026/07/31 · arxiv updated 2026/08/03
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.