Equivalence Between Average-Case Hardness of Learning and Cryptography for Mixed Quantum States
Alexandru Cojocaru, Laura Lewis
Abstract
The relationship between cryptography and learning theory has long been a central theme in the foundations of theoretical computer science: cryptographic primitives can imply hardness of learning, while hardness of learning can in turn be used to construct cryptographic schemes. Recent works have begun exploring analogous connections in the quantum setting, relating the average-case hardness of learning quantum states (AHL) to cryptographic primitives such as one-way state generators (OWSG). Despite recent progress exploring this for pure states, the relationship for mixed states has remained an open question. In this work, we prove that the existence of AHL for mixed quantum states is equivalent to the existence of inefficiently verifiable one-way state generators (IV-OWSGs). As a consequence, this relates mixed-state AHL to EFI pairs. Moreover, as a corollary of existing results, we obtain a separation between IV-OWSGs and OWSGs relative to the SWAP oracle.
Create a lesson
Related papers
Continuous variable distributed quantum sensing in integrated photonics
Bethany Puzio, Oliver M. Green, Joel F. Tasker et al.
Securing quantum error correction against misleading advice from AI agents
A. Barış Özgüler
Exact logical error rates for magic state cultivation
Kwok Ho Wan, Ainhoa Zapirain
Hamiltonian engineering via pulses: beyond group averaging
Ivan Beschastnyi, Lucah Patel, David Tinoco
Logarithmic-depth quantum simulation of boson sampling
Changhun Oh
Entanglement swapping across a five-node relay in a multiplexed quantum-classical network
Andrew R. Cameron, Jordan M. Thomas, Alexandru Macridin et al.