Pseudorandom density matrices
Nikhil Bansal, Wai-Keong Mok, Kishor Bharti, Dax Enshan Koh, Tobias Haug

TL;DR
This paper introduces pseudorandom density matrices (PRDMs), a new class of quantum states that are indistinguishable from Haar random states, robust to noise, and possess high quantum resources, impacting quantum cryptography and resource theory.
Contribution
The paper defines PRDMs, extending pseudorandom states to mixed states, and demonstrates their robustness, resource properties, and cryptographic applications, establishing fundamental bounds in quantum resource theories.
Findings
PRDMs are indistinguishable from generalized Haar states.
PRDMs are robust against unital noise channels.
PRDMs possess near-maximal entanglement, magic, and coherence.
Abstract
Pseudorandom states (PRSs) are state ensembles that cannot be efficiently distinguished from Haar random states. However, the definition of PRSs has been limited to pure states and lacks robustness against noise. Here, we introduce pseudorandom density matrices (PRDMs), ensembles of -qubit states that are computationally indistinguishable from the generalized Hilbert-Schmidt ensemble (GHSE), which is constructed from -qubit Haar random states with qubits traced out. For , PRDMs are equivalent to PRSs, whereas for , PRDMs are computationally indistinguishable from the maximally mixed state. PRDMs with are robust to unital noise channels and separated in terms of security from PRS. PRDMs disguise valuable quantum resources, possessing near-maximal entanglement, magic and coherence, while being computationally indistinguishable from…
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Taxonomy
TopicsOptical Network Technologies · Optical and Acousto-Optic Technologies · Quantum Information and Cryptography
