Noncompletely Positive Quantum Maps Enable Efficient Local Energy Extraction in Batteries
Aparajita Bhattacharyya, Kornikar Sen, Ujjwal Sen

TL;DR
This paper explores how non-completely positive trace-preserving (NCPTP) maps can extract energy from quantum batteries more efficiently than traditional CPTP maps, revealing new operational capabilities and conditions for energy extraction.
Contribution
It introduces the concept that NCPTP maps can outperform CPTP maps in energy extraction from quantum states, providing conditions and explicit examples for this advantage.
Findings
NCPTP maps can surpass CPTP maps in energy extraction.
CPTP-local passive states remain passive under multiple copies.
Explicit states and Hamiltonians demonstrate the advantage of NCPTP maps.
Abstract
Energy extraction from quantum batteries by means of completely positive trace-preserving (CPTP) maps leads to the concept of CPTP-local passive states, which identify bipartite states from which no energy can be squeezed out by applying any CPTP map to a particular subsystem. We prove, for arbitrary dimension, that if a state is CPTP-local passive with respect to a Hamiltonian, then an arbitrary number of copies of the same state - including an asymptotically large one - is also CPTP-local passive. We show further that energy can be extracted efficiently from CPTP-local passive states employing NCPTP but still physically realizable maps on the same part of the shared battery on which operation of CPTP maps were useless. Moreover, we provide the maximum extractable energy using local-CPTP operations, and then, we present an explicit class of states and corresponding Hamiltonians, for…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Quantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata
