4 papers · 1 filter
Correlation Lengths for Stochastic Matrix Product States
Lubashan Pathirana, Albert H. Werner
We introduce a general model of stochastically generated matrix product states (MPS) in which the local tensors share a common distribution and form a strictly stationary sequence,…
Quantum Algorithms for the Minimum Steiner Tree problem with application to Binary Near-Perfect Phylogenies
Lingfa Meng, David Salvador Novo, Albert H. Werner +1
We present a quantum algorithm in bioinformatics for solving the Binary Near-Perfect Phylogeny Problem (BNPP) with a complexity bound of , where n is the numb…
Learning and certification of local time-dependent quantum dynamics and noise
Daniel Stilck França, Tim Möbus, Cambyse Rouzé +1
Hamiltonian learning protocols are essential tools to benchmark quantum computers and simulators. Yet rigorous methods for time-dependent Hamiltonians and Lindbladians remain scarc…
Heisenberg-limited Hamiltonian learning continuous variable systems via engineered dissipation
Tim Möbus, Andreas Bluhm, Tuvia Gefen +3
Discrete and continuous variables oftentimes require different treatments in many learning tasks. Identifying the Hamiltonian governing the evolution of a quantum system is a funda…