Optimal thermometers with spin networks

Article Article scientifique Article Optimal thermometers with spin networks eng 2024-04-12 2024-04-12 author Abiuso Paolo 0000-0001-5019-7823 author Andrea Erdman Paolo 0000-0003-4626-2869 author Ronen Michaël 0000-0002-1442-7406 955843 author Noé Frank 0000-0003-4169-9324 author Haack Géraldine 0000-0001-7893-0177 677661 Serv com physique appliquée (FIGCO) author Perarnau Llobet Marti 0000-0002-4658-0632 939926 Serv com physique appliquée (FIGCO) 035008 10.1088/2058-9565/ad37d3 2058-9565 https://iopscience.iop.org/article/10.1088/2058-9565/ad37d3 The heat capacity C of a given probe is a fundamental quantity that determines, among other properties, the maximum precision in temperature estimation. In turn, C is limited by a quadratic scaling with the number of constituents of the probe, which provides a fundamental limit in quantum thermometry. Achieving this fundamental bound with realistic probes, i.e. experimentally amenable, remains an open problem. In this work, we tackle the problem of engineering optimal thermometers by using networks of spins. Restricting ourselves to two-body interactions, we derive general properties of the optimal configurations and exploit machine-learning techniques to find the optimal couplings. This leads to simple architectures, which we show analytically to approximate the theoretical maximal value of C and maintain the optimal scaling for short- and long-range interactions. Our models can be encoded in currently available quantum annealers, and find application in other tasks requiring Hamiltonian engineering, ranging from quantum heat engines to adiabatic Grover’s search. Dewey 500.2 Berlin Institute for the Foundations of Learning and Data BMBF AGAUR SGR 1381 Government of Spain 100010434 Swiss National Science Foundation Mesoscopic quantum thermal machines 179748 CH Careers European Commission Scalable Kinetic Models: From Molecular Dynamics to Cellular Signaling 772230 ScaleCell EU H2020 35 Groupe de physique appliquée 135 false 801 Groupe Brunner Quantum science and technology 9 3 adbbde75-454b-45ca-9a05-8138c3ffd544 Article (Published version) Public Abiuso_2024_Quantum_Sci._Technol._9.pdf 1745545 application/pdf CC BY-4.0 0689819536fb75b573d0a0b6d5b832dbf775310f59fa83b86c057f63b0528a91 openAccess Faculté des sciences / Section de physique / Groupe de physique appliquée

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Optimal thermometers with spin networks	Quantum science and technology			2024	13	76

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Ronen, Michaël