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20232026
most citedRevisiting the Mapping of Quantum Circuits: Entering the Multi-Core Era

27 citations · 58 across the 15 of their papers we have counts for

collaborators

15 papers

quant-ph2026

To Scale Up or To Scale Out: Evaluating Space-Time Costs of Compiled Logical Circuits on Modular Superconducting Quantum Processors

Nikiforos Paraskevopoulos, Sebastian de Bone, Mick Christophersen +4

Modular integration has emerged as the main pathway for scaling superconducting quantum processing units (QPUs) beyond the constraints of fabrication yield and physical footprint.…

quant-ph2026

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data

King Yiu Yu, Aritra Sarkar, Erbing Hua +3

High-fidelity circuit execution on noisy intermediate-scale quantum devices is bottlenecked by compilation pipelines that disregard complex, correlated noise. To address this, this…

quant-ph2025★ 1 cited

Stacking the Odds: Full-Stack Quantum System Design Space Exploration

Hila Safi, Medina Bandic, Christoph Niedermeier +3

Design space exploration (DSE) plays an important role in optimising quantum circuit execution by systematically evaluating different configurations of compilation strategies and h…

quant-ph2025

DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search

Shubing Xie, Aritra Sarkar, Sebastian Feld

Demonstrating quantum advantage using conventional quantum algorithms remains challenging on current noisy gate-based quantum computers. Automated quantum circuit synthesis via qua…

quant-ph2024

EO-GRAPE and EO-DRLPE: Open and Closed Loop Approaches for Energy Efficient Quantum Optimal Control

Sebastiaan Fauquenot, Aritra Sarkar, Sebastian Feld

This research investigates the possibility of using quantum optimal control techniques to co-optimize the energetic cost and the process fidelity of a quantum unitary gate. The ene…

quant-ph2024

Profiling quantum circuits for their efficient execution on single- and multi-core architectures

Medina Bandic, Pablo le Henaff, Anabel Ovide +8

Application-specific quantum computers offer the most efficient means to tackle problems intractable by classical computers. Realizing these architectures necessitates a deep under…

quant-ph2024★ 2 cited

ArtA: Automating Design Space Exploration of Spin Qubit Architectures

Nikiforos Paraskevopoulos, David Hamel, Aritra Sarkar +2

In the fast-paced field of quantum computing, identifying the architectural characteristics that will enable quantum processors to achieve high performance across a diverse range o…

quant-ph2024

YAQQ: Yet Another Quantum Quantizer -- Design Space Exploration of Quantum Gate Sets using Novelty Search

Aritra Sarkar, Akash Kundu, Matthew Steinberg +5

In the standard circuit model of quantum computation, the number and quality of the quantum gates composing the circuit influence the runtime and fidelity of the computation. The f…

quant-ph2024

Transformer Models for Quantum Gate Set Tomography

King Yiu Yu, Aritra Sarkar, Maximilian Rimbach-Russ +2

Quantum computation represents a promising frontier in the domain of high-performance computing, blending quantum information theory with practical applications to overcome the lim…

quant-ph2024★ 7 cited

beSnake: A routing algorithm for scalable spin-qubit architectures

Nikiforos Paraskevopoulos, Carmen G. Almudever, Sebastian Feld

As quantum computing devices increase in size with respect to the number of qubits, two-qubit interactions become more challenging, necessitating innovative and scalable qubit rout…

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

KetGPT - Dataset Augmentation of Quantum Circuits using Transformers

Boran Apak, Medina Bandic, Aritra Sarkar +1

Quantum algorithms, represented as quantum circuits, can be used as benchmarks for assessing the performance of quantum systems. Existing datasets, widely utilized in the field, su…

quant-ph2024★ 14 cited

Quantum Computing and Tensor Networks for Laminate Design: A Novel Approach to Stacking Sequence Retrieval

Arne Wulff, Boyang Chen, Matthew Steinberg +3

As with many tasks in engineering, structural design frequently involves navigating complex and computationally expensive problems. A prime example is the weight optimization of la…

quant-ph2024★ 5 cited

Lightcone Bounds for Quantum Circuit Mapping via Uncomplexity

Matthew Steinberg, Medina Bandic, Sacha Szkudlarek +3

Efficiently mapping quantum circuits onto hardware is an integral part of the quantum compilation process, wherein a circuit is modified in accordance with the stringent architectu…

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…