2 citations · 2 across the 5 of their papers we have counts for
5 papers
Random Quantum Circuits as Seeds for Continuous Generative Models
Olli Hirviniemi, Afrad Basheer, Thomas Cope
We introduce a random circuit family and show they are robust against current classical simulation techniques, specifically tensor network contraction and Pauli propagation. We als…
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie +2
We prove that using global observables to train the matrix product state ansatz results in the vanishing of all partial derivatives, also known as barren plateaus, while using loca…
Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows
Afrad Basheer, Yuan Feng, Christopher Ferrie +1
Variational Quantum Algorithms (VQA) have been identified as a promising candidate for the demonstration of near-term quantum advantage in solving optimization tasks in chemical si…
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows
Afrad Basheer, Yuan Feng, Christopher Ferrie +1
Variational quantum algorithms (VQAs) are the quantum analog of classical neural networks (NNs). A VQA consists of a parameterized quantum circuit (PQC) which is composed of multip…
Quantum -nearest neighbors algorithm
Afrad Basheer, A. Afham, Sandeep K. Goyal
One of the simplest and most effective classical machine learning algorithms is the -nearest neighbors algorithm (NN) which classifies an unknown test state by finding the $k…