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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/231682
Minimizing Dissipation in Multiqubit Erasure via Engineered Quantum Reservoirs
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The erasure of quantum information is governed by two fundamental thermodynamic bounds: Landauer’s principle, which establishes the absolute minimum energetic cost of resetting a state, and Nernst’s unattainability principle, which dictates that perfect cooling to absolute zero entropy requires infinite resources. Under finite constraints, conventional cooling protocols utilizing thermal baths composed of n non-interacting particles are bottlenecked by a linear dissipation barrier (O(1/n)). In this thesis, we establish the ultimate thermodynamic limits of finite-resource multiqubit erasure and introduce the most thermodynamically efficient cooling protocol currently known. Building upon the max-cooling framework—a global unitary operation that systematically sorts the eigenvalues of the joint system-bath state to pack the highest probability mass into the target’s ground state—we engineer a bath Hamiltonian with specific, target-dependent degeneracies for arbitrary m-qubit systems.
This collective protocol achieves an optimal asymptotic entropy production scaling of Σ = O(m2/n2), successfully saturating the scaling of the fundamental theoretical lower bound. This degeneracy-optimized approach strictly outperforms both standard non-interacting reservoirs and the best-known protocol for the independent cooling of single qubits using a reservoir of interacting particles (O(m3/n2)). Furthermore, we establish that surpassing conventional dissipation barriers requires an operational threshold of just n ≥ 2m2 bath particles to achieve this optimal scaling.
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Màster Oficial de Ciència i Tecnologia Quàntiques / Quantum Science and Technology, Facultat de Física, Universitat de Barcelona. Curs: 2025-2026. Tutor: Martí Perarnau Llobet
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ARIAS RANGEL, Sergio. Minimizing Dissipation in Multiqubit Erasure via Engineered Quantum Reservoirs. [consulted: 25 of September of 2026]. Available at: https://hdl.handle.net/2445/231682