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20212026
most citedRevisiting the Mapping of Quantum Circuits: Entering the Multi-Core Era

27 citations · 120 across the 32 of their papers we have counts for

collaborators

34 papers

quant-ph2026

Quantum Circuit Pruning: From NISQ Architectures to Fault-Tolerant Operations

Pau Escofet, Carmen G. Almudéver, Sergi Abadal +1

We present a routing-aware pruning strategy for quantum circuits that selectively removes parametric two-qubit gates whose computational contribution is outweighed by the fidelity…

quant-ph2026

Transversal Gates and Magic State Distillation in an Optimally Synthesized Spin-Qubit Shuttling Bus

Pau Escofet, Andrii Semenov, Niall Murphy +4

Fault-tolerant quantum computing requires not only reliable logical qubit storage, but also the ability to perform high-fidelity logical operations between error-corrected qubits a…

quant-ph2026

Energy efficiency of quantum computers

Miquel Carrasco-Codina, Pau Escofet, Paul Hilaire +13

How much energy does a quantum computer consume? Are they more efficient than their classical counterparts? In this work, we make a step towards answering these questions. We defin…

quant-ph2025

Synthesizing an Optimal Spin Qubit Shuttling Bus Architecture for the Surface Code

Pau Escofet, Eduard Alarcón, Sergi Abadal +4

As quantum computers scale toward millions of physical qubits, it becomes essential to robustly encode individual logical qubits to ensure fault tolerance under realistic noise. A…

quant-ph2025

Characterizing Scaling Trends of Post-Compilation Circuit Resources for NISQ-era QML Models

Rupayan Bhattacharjee, Pau Escofet, Santiago Rodrigo +3

This work investigates the scaling characteristics of post-compilation circuit resources for Quantum Machine Learning (QML) models on connectivity-constrained NISQ processors. We a…

quant-ph2025

Accurate and Scalable Simulation of Cavity-Based Networks in Modular Quantum Architectures

Sahar Ben Rached, Zezhou Sun, Guilu Long +4

Cavity-mediated interconnects are a promising platform for scaling modular quantum computers by enabling high-fidelity inter-chip quantum state transmission and entanglement genera…

quant-ph2025★ 4 cited

On the Impact of Classical and Quantum Communication Networks Upon Modular Quantum Computing Architecture System Performance

Pau Escofet, Abhijit Das, Sahar Ben Rached +15

Modular architectures are a promising approach to scaling quantum computers beyond the limits of monolithic designs. However, non-local communications between different quantum pro…

cs.LG2025★ 1 cited

Guided Graph Compression for Quantum Graph Neural Networks

Mikel Casals, Vasilis Belis, Elias F. Combarro +3

Graph Neural Networks (GNNs) are effective for processing graph-structured data but face challenges with large graphs due to high memory requirements and inefficient sparse matrix…

eess.SY2025

Frequency-Dependent Power Consumption Modeling of CMOS Transmitters for WNoC Architectures

Mohammad Shahmoradi, Korkut Kaan Tokgöz, Eduard Alarcón +1

Wireless Network-on-Chip (WNoC) systems, which wirelessly interconnect the chips of a computing system, have been proposed as a complement to existing chip-to-chip wired links. How…

quant-ph2025

Modeling Quantum Links for the Exploration of Distributed Quantum Computing Systems

Sahar Ben Rached, Zezhou Sun, Junaid Khan +5

Quantum computing offers the potential to solve certain complex problems, yet, scaling monolithic processors remains a major challenge. Modular and distributed architectures are pr…

quant-ph2025★ 9 cited

An Accurate and Efficient Analytic Model of Fidelity Under Depolarizing Noise Oriented to Large Scale Quantum System Design

Pau Escofet, Santiago Rodrigo, Artur Garcia-Sáez +3

Fidelity is one of the most valuable and commonly used metrics for assessing the performance of quantum circuits on error-prone quantum processors. Several approaches have been pro…

quant-ph2025★ 1 cited

Compilation Techniques for Spin Qubits in a Shuttling Bus Architecture

Pau Escofet, Andrii Semenov, Niall Murphy +4

In this work, we explore and propose several quantum circuit mapping strategies to optimize qubit shuttling in scalable quantum computing architectures based on silicon spin qubits…

cs.ET2024

Enhanced Drug Delivery via Localization-Enabled Relaying in Molecular Communication Nanonetworks

Ethungshan Shitiri, Akarsh Yadav, Sergi Abadal +2

Intra-body nanonetworks hold promise for advancing targeted drug delivery (TDD) systems through molecular communications (MC). In the baseline MC-TDD system, drug-loaded nanomachin…

cs.ET2024

A MAC Protocol with Time Reversal for Wireless Networks within Computing Packages

Ama Bandara, Abhijit Das, Fátima Rodríguez-Galán +2

Wireless Network-on-Chip (WNoC) is a promising concept which provides a solution to overcome the scalability issues in prevailing networks-in-package for many-core processors. Howe…

quant-ph2024★ 11 cited

Route-Forcing: Scalable Quantum Circuit Mapping for Scalable Quantum Computing Architectures

Pau Escofet, Alejandro Gonzalvo, Eduard Alarcón +2

Quantum computers are expected to scale in size to close the gap that currently exists between quantum algorithms and quantum hardware. To this end, quantum compilation techniques…

cs.AR2024

Time Reversal for Near-Field Communications on Multi-chip Wireless Networks

Fátima Rodríguez-Galán, Ama Bandara, Elana Pereira de Santana +3

Wireless Network-on-Chip (WNoC) has been proposed as a low-latency, versatile, and broadcast-capable complement to current interconnects in the quest for satisfying the ever-increa…

cs.ET2024

Towards Scalable Multi-Chip Wireless Networks with Near-Field Time Reversal

Ama Bandara, Fátima Rodríguez-Galán, Pau Talarn +5

The concept of Wireless Network-on-Chip (WNoC) has emerged as a potential solution to address the escalating communication demands of modern computing systems due to its low-latenc…

quant-ph2024★ 27 cited

Revisiting the Mapping of Quantum Circuits: Entering the Multi-Core Era

Pau Escofet, Anabel Ovide, Medina Bandic +6

Quantum computing represents a paradigm shift in computation, offering the potential to solve complex problems intractable for classical computers. Although current quantum process…

quant-ph2024★ 10 cited

Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning

Arnau Pastor, Pau Escofet, Sahar Ben Rached +3

Quantum computing holds immense potential for solving classically intractable problems by leveraging the unique properties of quantum mechanics. The scalability of quantum architec…

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★ 2 cited

Characterizing the Inter-Core Qubit Traffic in Large-Scale Quantum Modular Architectures

Sahar Ben Rached, Isaac Lopez Agudo, Santiago Rodrigo +6

Modular quantum processor architectures are envisioned as a promising solution for the scalability of quantum computing systems beyond the Noisy Intermediate Scale Quantum (NISQ) d…

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…

cs.AR2023

Collective Communication Patterns Using Time-Reversal Terahertz Links at the Chip Scale

Fátima Rodríguez-Galán, Ama Bandara, Elana Pereira de Santana +3

Wireless communications in the terahertz band have been recently proposed as complement to conventional wired interconnects within computing packages. Such environments are typical…

cs.AR2023

Exploration of Time Reversal for Wireless Communications within Computing Packages

Ama Bandara, Fátima Rodríguez-Galán, Elana Pereira de Santana +3

Wireless Network-on-Chip (WNoC) is a promising paradigm to overcome the versatility and scalability issues of conventional on-chip networks for current processor chips. However, th…