Timed demolition measurements
Konstantinos Manos, Mirjam Weilenmann, Miguel Navascues

TL;DR
This paper investigates the limits of predicting and reconstructing quantum system dynamics under energy constraints, introducing concepts like self-testing datasets and phenomena affecting extrapolation accuracy.
Contribution
It characterizes feasible measurement datasets under energy constraints and introduces self-testing datasets that uniquely identify system parameters.
Findings
Feasible datasets can be efficiently characterized under energy constraints.
Existence of self-testing datasets that identify specific Hamiltonians and states.
Energy-constrained systems may require superexponential measurement precision for accurate future predictions.
Abstract
Picture an experimental scenario where a closed quantum system, evolving through a time-independent Hamiltonian, is subject to a demolition measurement at a chosen time. The Hamiltonian, the measured observables, the initial state of the physical system and even its Hilbert space dimension are unknown; we nonetheless assume a promise or constraint on the energy distribution of the state. In this context we find that, for many natural energy constraints, the set of feasible time series or datasets can be characterized efficiently. Furthermore, under the assumption of a bounded energy spectrum, we prove that there exist ``self-testing'' datasets, whose approximate realization singles out specific Hamiltonians, states and measurement operators. Investigating to what extent the extrapolation of past measurement data is possible in this framework, we identify energy-constrained physical…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
