Classical verification of quantum learning
Quantum data access and quantum processing can make certain classically intractable
learning tasks feasible. However, quantum capabilities will only be available to a select few …
learning tasks feasible. However, quantum capabilities will only be available to a select few …
HybriD-GM: A framework for quantum computing simulation targeted to hybrid parallel architectures
This paper presents the HybriD-GM model conception, from modeling to consolidation. The
D-GM environment is also extended, providing efficient parallel executions for quantum …
D-GM environment is also extended, providing efficient parallel executions for quantum …
On the distinguishability of geometrically uniform quantum states
A geometrically uniform (GU) ensemble is a uniformly weighted quantum state ensemble
generated from a fixed state by a unitary representation of a finite group $ G $. In this work …
generated from a fixed state by a unitary representation of a finite group $ G $. In this work …
Proper vs Improper Quantum PAC learning
A basic question in the PAC model of learning is whether proper learning is harder than
improper learning. In the classical case, there are examples of concept classes with VC …
improper learning. In the classical case, there are examples of concept classes with VC …
Optimal, and approximately optimal, quantum strategies for and games
P Rigas - arxiv preprint arxiv:2311.12887, 2023 - arxiv.org
We analyze optimal, and approximately optimal, quantum strategies for a variety of non-local
XOR games. Building upon previous arguments due to Ostrev in 2016, which characterized …
XOR games. Building upon previous arguments due to Ostrev in 2016, which characterized …