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Robust Structure Learning of -local Lindbladians
Tim Möbus, Thiago Bergamaschi, Daniel Stilck França +1
We present an efficient protocol for learning an unknown -local Lindblad generator on qubits using only product-state preparations, short-time evolution, and single-qubit Pa…
Pairwise Liouvillian learning from randomized measurements: practical aspects and guidelines for operating the protocol in large-scale experiments
William T. Lam, Manoj K. Joshi, Daniel Stilck França +1
We review and numerically study a protocol for Liouvillian learning based on randomized Pauli states and measurements. In particular, in the two-body, long-range interactions, and…
Hamiltonian dynamics from pure dissipation
Zhong-Xia Shang, Daniel Stilck França
The fundamental difference between closed and open quantum dynamics lies in their environmental interaction: closed systems are perfectly isolated and evolve reversibly under unita…
Demonstrating and Benchmarking Classical Shadows for Lindblad Tomography
Rune Thinggaard Birke, Johann Bock Severin, Malthe A. Marciniak +15
Spurious couplings and decoherence degrade the performance of solid-state quantum processors, demanding careful design, calibration, and mitigation protocols. These strategies ofte…
Polynomial-time thermalization and Gibbs sampling from system-bath couplings
Samuel Slezak, Matteo Scandi, Álvaro M. Alhambra +2
Many physical phenomena, including thermalization in open quantum systems and quantum Gibbs sampling, are modeled by Lindbladians approximating a system weakly coupled to a bath. U…
Quantum speed-ups for solving semidefinite relaxations of polynomial optimization
Daniel Stilck França, Ngoc Hoang Anh Mai
We study quantum algorithms for approximating Lasserre's hierarchy values for polynomial optimization. Let be real polynomials in variables and the…