8 citations · 11 across the 11 of their papers we have counts for
4 papers · 2 filters
Approximate Quantum State Preparation Through Proximal Policy Optimization
Marco Mordacci, Michele Amoretti
In this work, a quantum architecture search framework for approximate quantum state preparation (QSP) is proposed. QSP is a challenging task, since the search space grows exponenti…
Parallel QEC Decoding Applied to Distributed Quantum Computing
Gabriele Incardona, Davide Ferrari, Michele Amoretti
A novel parallel approach is proposed for QEC decoding based on Belief Propagation with Ordered Statistics Decoding. The main idea is to pre-process the error vectors obtained from…
Algebraic Reduction to Improve an Optimally Bounded Quantum State Preparation Algorithm
Giacomo Belli, Michele Amoretti
The preparation of -qubit quantum states is a cross-cutting subroutine for many quantum algorithms, and the effort to reduce its circuit complexity is a significant challenge. I…
Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
Gongyu Ni, Davide Ferrari, Lester Ho +1
Distributed quantum computing (DQC) is being actively investigated as a means of scaling the number of qubits across multiple connected quantum devices. This includes quantum circu…