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19922026
Showing 2023 · quant-phShow all

13 papers · 2 filters

quant-ph2023★ 12 cited

Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus

Jordi Riu, Jan Nogué, Gerard Vilaplana +2

We propose a novel Reinforcement Learning (RL) method for optimizing quantum circuits using graph-theoretic simplification rules of ZX-diagrams. The agent, trained using the Proxim…

quant-ph2023★ 5 cited

Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale +8

This paper presents a comprehensive comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNN) and Quantum Neural Networks (QNN), juxtaposed against thei…

quant-ph2023★ 8 cited

A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks

Roy T. Forestano, Marçal Comajoan Cara, Gopal Ramesh Dahale +8

Machine learning algorithms are heavily relied on to understand the vast amounts of data from high-energy particle collisions at the CERN Large Hadron Collider (LHC). The data from…

quant-ph2023★ 31 cited

Synthetic dimensions for topological and quantum phases: Perspective

Javier Argüello-Luengo, Utso Bhattacharya, Alessio Celi +8

In this Perspective article we report on recent progress on studies of synthetic dimensions, mostly, but not only, based on the research realized around the Barcelona groups (ICFO,…

quant-ph2023★ 21 cited

Hungarian Qubit Assignment for Optimized Mapping of Quantum Circuits on Multi-Core Architectures

Pau Escofet, Anabel Ovide, Carmen G. Almudever +2

Modular quantum computing architectures offer a promising alternative to monolithic designs for overcoming the scaling limitations of current quantum computers. To achieve scalabil…

quant-ph2023★ 15 cited

Interconnect Fabrics for Multi-Core Quantum Processors: A Context Analysis

Pau Escofet, Sahar Ben Rached, Santiago Rodrigo +3

Quantum computing has revolutionized the field of computer science with its extraordinary ability to handle classically intractable problems. To realize its potential, however, qua…