Federico M. Spedalieri

1.7k total citations
27 papers, 1.1k citations indexed

About

Federico M. Spedalieri is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Federico M. Spedalieri has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Federico M. Spedalieri's work include Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (16 papers) and Neural Networks and Reservoir Computing (8 papers). Federico M. Spedalieri is often cited by papers focused on Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (16 papers) and Neural Networks and Reservoir Computing (8 papers). Federico M. Spedalieri collaborates with scholars based in United States, Switzerland and Australia. Federico M. Spedalieri's co-authors include Andrew C. Doherty, Pablo A. Parrilo, Tameem Albash, Daniel A. Lidar, Sergio Boixo, Nicholas Chancellor, Francisco D. Mazzitelli, Ajey P. Jacob, Dmitri E. Nikonov and Vwani Roychowdhury and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review A.

In The Last Decade

Federico M. Spedalieri

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federico M. Spedalieri United States 12 873 717 120 93 69 27 1.1k
Thierry Paul France 4 1.0k 1.2× 876 1.2× 112 0.9× 104 1.1× 27 0.4× 6 1.3k
Andrzej Jamiołkowski Poland 7 943 1.1× 1.0k 1.4× 57 0.5× 47 0.5× 28 0.4× 22 1.3k
Jeroen Dehaene Belgium 14 1.4k 1.6× 1.3k 1.7× 129 1.1× 62 0.7× 16 0.2× 35 1.6k
Trevor Vincent Canada 9 564 0.6× 374 0.5× 49 0.4× 200 2.2× 148 2.1× 10 897
Guang Hao Low United States 17 1.2k 1.3× 675 0.9× 267 2.2× 73 0.8× 8 0.1× 35 1.3k
Koenraad M. R. Audenaert United Kingdom 18 806 0.9× 737 1.0× 177 1.5× 70 0.8× 14 0.2× 38 1.1k
David W. Kribs Canada 21 810 0.9× 637 0.9× 274 2.3× 47 0.5× 18 0.3× 80 1.2k
Volkher B. Scholz Switzerland 12 548 0.6× 588 0.8× 72 0.6× 42 0.5× 22 0.3× 33 773
R. Muñoz-Tapia Spain 24 1.3k 1.5× 1.1k 1.6× 43 0.4× 73 0.8× 38 0.6× 61 1.5k
Hari Krovi United States 19 1.1k 1.3× 710 1.0× 247 2.1× 133 1.4× 8 0.1× 40 1.3k

Countries citing papers authored by Federico M. Spedalieri

Since Specialization
Citations

This map shows the geographic impact of Federico M. Spedalieri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Federico M. Spedalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico M. Spedalieri more than expected).

Fields of papers citing papers by Federico M. Spedalieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico M. Spedalieri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Federico M. Spedalieri. The network helps show where Federico M. Spedalieri may publish in the future.

Co-authorship network of co-authors of Federico M. Spedalieri

This figure shows the co-authorship network connecting the top 25 collaborators of Federico M. Spedalieri. A scholar is included among the top collaborators of Federico M. Spedalieri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federico M. Spedalieri. Federico M. Spedalieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Spedalieri, Federico M., et al.. (2025). Optimizing Join Orders via Constrained Quadratic Models (Abstract). 295–295.
2.
Magdy, Amr, et al.. (2025). Quantum Modeling of Spatial Contiguity Constraints. 3–9.
3.
Sabek, Ibrahim, et al.. (2024). Constrained Quadratic Model for Optimizing Join Orders. 38–44. 5 indexed citations
4.
Spedalieri, Federico M., et al.. (2022). Tailored Quantum Alternating Operator Ansätzes for Circuit Fault Diagnostics. Algorithms. 15(10). 356–356.
5.
Spedalieri, Federico M., Ke-Thia Yao, Thomas E. Potok, et al.. (2018). Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy. 20(5). 380–380. 15 indexed citations
6.
Potok, Thomas E., Catherine D. Schuman, Steven R. Young, et al.. (2016). A study of complex deep learning networks on high performance, neuromorphic, and quantum computers. IEEE International Conference on High Performance Computing, Data, and Analytics. 47–55. 7 indexed citations
7.
Albash, Tameem, Itay Hen, Federico M. Spedalieri, & Daniel A. Lidar. (2015). Reexamination of the evidence for entanglement in a quantum annealer. Physical Review A. 92(6). 24 indexed citations
8.
Boixo, Sergio, Tameem Albash, Federico M. Spedalieri, Nicholas Chancellor, & Daniel A. Lidar. (2013). Experimental Signature of Programmable Quantum Annealing (Author's Manuscript). 3 indexed citations
9.
Boixo, Sergio, Tameem Albash, Federico M. Spedalieri, Nicholas Chancellor, & Daniel A. Lidar. (2013). Experimental signature of programmable quantum annealing. Nature Communications. 4(1). 2067–2067. 197 indexed citations
10.
Spedalieri, Federico M., Ajey P. Jacob, Dmitri E. Nikonov, & Vwani Roychowdhury. (2010). Performance of Magnetic Quantum Cellular Automata and Limitations Due to Thermal Noise. IEEE Transactions on Nanotechnology. 10(3). 537–546. 46 indexed citations
11.
Wilde, Mark M., Federico M. Spedalieri, Jonathan P. Dowling, & Hwang Lee. (2006). Optical Cluster-State Generation without Number-Resolving Photon Detectors. arXiv (Cornell University). 1 indexed citations
12.
Spedalieri, Federico M., Hwang Lee, & Jonathan P. Dowling. (2006). High-fidelity linear optical quantum computing with polarization encoding. Physical Review A. 73(1). 14 indexed citations
13.
Spedalieri, Federico M., Hwang Lee, Marian Florescu, et al.. (2005). Exploiting the Quantum Zeno effect to beat photon loss in linear optical quantum information processors. Optics Communications. 254(4-6). 374–379. 7 indexed citations
14.
Doherty, Andrew C., Pablo A. Parrilo, & Federico M. Spedalieri. (2005). Detecting multipartite entanglement. Physical Review A. 71(3). 77 indexed citations
15.
Spedalieri, Federico M.. (2005). Quantum key distribution without reference frame alignment: Exploiting photon orbital angular momentum. Optics Communications. 260(1). 340–346. 40 indexed citations
16.
Spedalieri, Federico M., Andrew C. Doherty, & Pablo A. Parrilo. (2004). Complete family of separability criteria (20 pages). Physical Review A. 69(2). 22308–51. 19 indexed citations
17.
Parrilo, Pablo A., Andrew C. Doherty, & Federico M. Spedalieri. (2004). Entanglement witnesses and semidefinite programming. 4. 4575–4580. 2 indexed citations
18.
Doherty, Andrew C., Pablo A. Parrilo, & Federico M. Spedalieri. (2004). Complete family of separability criteria. Physical Review A. 69(2). 272 indexed citations
19.
Doherty, Andrew C., Pablo A. Parrilo, & Federico M. Spedalieri. (2002). Distinguishing Separable and Entangled States. Physical Review Letters. 88(18). 187904–187904. 231 indexed citations
20.
Mazzitelli, Francisco D. & Federico M. Spedalieri. (1995). Scalar electrodynamics and primordial magnetic fields. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 52(12). 6694–6699. 71 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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