Cooling a Qubit Using <i>n</i> Others

In the task of unitarily cooling a quantum system with access to a larger quantum system, known as the machine or reservoir, ? Focusing on the task of cooling a single qubit given access to <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:mi>n</a:mi> </a:math> separable, thermal qubits with arbitrary energy structure, we answer these questions by giving two new perspectives on this task. First, we show that a set of inequalities related to the energetic structure of the <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"> <c:mi>n</c:mi> </c:math> -qubit machine determines the protocol which cools the qubit to the coldest reachable state, which parts of the machine contribute to this protocol and give rise to a Carnot-like bound. Second, we show that cooling protocols can be represented as perfect matchings on bipartite graphs enabling the optimization of cost functions, e.g., gate complexity or dissipation. Our results generalize the algorithmic cooling problem, establish new fundamental bounds on quantum cooling and offer a framework for designing novel autonomous thermal machines and cooling algorithms.

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Publication Details

Journal
PRX Quantum
Published
2025-10-29
DOI
https://doi.org/10.1103/hrph-dbv7
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48
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article

Cooling a Qubit Using n Others

Karl J. Friston
1 citations
PRX Quantum
Quantum Computing Algorithms and Architecture
2.48
article

Cooling a Qubit Using n Others

Karl J. Friston
article en
1 citations

Abstract

In the task of unitarily cooling a quantum system with access to a larger quantum system, known as the machine or reservoir, ? Focusing on the task of cooling a single qubit given access to <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:mi>n</a:mi> </a:math> separable, thermal qubits with arbitrary energy structure, we answer these questions by giving two new perspectives on this task. First, we show that a set of inequalities related to the energetic structure of the <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"> <c:mi>n</c:mi> </c:math> -qubit machine determines the protocol which cools the qubit to the coldest reachable state, which parts of the machine contribute to this protocol and give rise to a Carnot-like bound. Second, we show that cooling protocols can be represented as perfect matchings on bipartite graphs enabling the optimization of cost functions, e.g., gate complexity or dissipation. Our results generalize the algorithmic cooling problem, establish new fundamental bounds on quantum cooling and offer a framework for designing novel autonomous thermal machines and cooling algorithms.

PRX QuantumVol. 6(4)
University of Science and Technology of China (CN), Austrian Academy of Sciences (AT), University of Bristol (GB), Vienna Center for Quantum Science and Technology (AT)
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
2.48
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Cooling a Qubit Using <i>n</i> Others — Karl J. Friston · PRX Quantum (2025) | TGRS Research Map | TGRS