Michael Streif

1.1k total citations
20 papers, 300 citations indexed

About

Michael Streif is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Michael Streif has authored 20 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Michael Streif's work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (11 papers) and Quantum and electron transport phenomena (8 papers). Michael Streif is often cited by papers focused on Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (11 papers) and Quantum and electron transport phenomena (8 papers). Michael Streif collaborates with scholars based in Germany, United States and Austria. Michael Streif's co-authors include O. Anne E. Rasa, Nikolaj Moll, Raffaele Santagati, Matthias Degroote, Martin Leib, Elica Kyoseva, Robert M. Parrish, Jordi Mur-Petit, Andreas Buchleitner and Dieter Jaksch and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Nature Physics.

In The Last Decade

Michael Streif

20 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Streif Germany 10 190 137 50 33 27 20 300
Li-zhen Jiang China 10 374 2.0× 345 2.5× 14 0.3× 19 0.6× 5 0.2× 44 434
Massoud Borhani Switzerland 7 146 0.8× 399 2.9× 14 0.3× 30 0.9× 9 0.3× 9 428
Alex E. Jones United Kingdom 9 241 1.3× 217 1.6× 8 0.2× 39 1.2× 2 0.1× 9 375
M. Acton United States 8 231 1.2× 249 1.8× 14 0.3× 49 1.5× 1 0.0× 8 488
Daniel Manzano Spain 13 272 1.4× 483 3.5× 11 0.2× 46 1.4× 2 0.1× 30 573
Alexandra A. Geim United States 5 190 1.0× 229 1.7× 18 0.4× 51 1.5× 8 353
Kade Head-Marsden United States 9 255 1.3× 295 2.2× 16 0.3× 28 0.8× 1 0.0× 20 369
LeeAnn M. Sager-Smith United States 9 173 0.9× 237 1.7× 13 0.3× 20 0.6× 24 290
Christopher L. Baldwin United States 9 224 1.2× 226 1.6× 55 1.1× 35 1.1× 18 431
Phillip Helms United States 6 135 0.7× 183 1.3× 15 0.3× 42 1.3× 9 259

Countries citing papers authored by Michael Streif

Since Specialization
Citations

This map shows the geographic impact of Michael Streif'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 Michael Streif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Streif more than expected).

Fields of papers citing papers by Michael Streif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Streif. 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 Michael Streif. The network helps show where Michael Streif may publish in the future.

Co-authorship network of co-authors of Michael Streif

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Streif. A scholar is included among the top collaborators of Michael Streif 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 Michael Streif. Michael Streif 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.
Cortes, Cristian L., Sukin Sim, Matthias Degroote, et al.. (2025). Faster Quantum Chemistry Simulations on a Quantum Computer with Improved Tensor Factorization and Active Volume Compilation. PRX Quantum. 6(3). 2 indexed citations
2.
Cortes, Cristian L., Matthias Loipersberger, Robert M. Parrish, et al.. (2024). Fault-Tolerant Quantum Algorithm for Symmetry-Adapted Perturbation Theory. PRX Quantum. 5(1). 8 indexed citations
3.
Santagati, Raffaele, Alán Aspuru‐Guzik, Ryan Babbush, et al.. (2024). Drug design on quantum computers. Nature Physics. 20(4). 549–557. 47 indexed citations
4.
Ollitrault, Pauline J., Claudia P. Cortés, Jérôme F. Gonthier, et al.. (2024). Enhancing Initial State Overlap through Orbital Optimization for Faster Molecular Electronic Ground-State Energy Estimation. Physical Review Letters. 133(25). 250601–250601. 10 indexed citations
5.
Santagati, Raffaele, et al.. (2024). Improved Precision Scaling for Simulating Coupled Quantum-Classical Dynamics. PRX Quantum. 5(1). 3 indexed citations
6.
Ollitrault, Pauline J., Matthias Loipersberger, Robert M. Parrish, et al.. (2024). Estimation of Electrostatic Interaction Energies on a Trapped-Ion Quantum Computer. ACS Central Science. 10(4). 882–889. 5 indexed citations
7.
Cortes, Cristian L., Dario Rocca, Jérôme F. Gonthier, et al.. (2024). Assessing the query complexity limits of quantum phase estimation using symmetry-aware spectral bounds. Physical review. A. 110(2). 4 indexed citations
8.
Moll, Nikolaj, et al.. (2024). Classical and quantum cost of measurement strategies for quantum-enhanced auxiliary field quantum Monte Carlo. New Journal of Physics. 26(3). 33022–33022. 9 indexed citations
9.
Amsler, Maximilian, Peter Deglmann, Matthias Degroote, et al.. (2023). Classical and quantum trial wave functions in auxiliary-field quantum Monte Carlo applied to oxygen allotropes and a CuBr2 model system. The Journal of Chemical Physics. 159(4). 10 indexed citations
10.
Morley-Short, Sam, Sukin Sim, Cristian L. Cortes, et al.. (2023). Fault-tolerant quantum computation of molecular observables. Quantum. 7. 1164–1164. 11 indexed citations
11.
Loipersberger, Matthias, Fionn D. Malone, Robert M. Parrish, et al.. (2023). Accurate non-covalent interaction energies on noisy intermediate-scale quantum computers via second-order symmetry-adapted perturbation theory. Chemical Science. 14(13). 3587–3599. 9 indexed citations
12.
O’Brien, Thomas E., Michael Streif, Nicholas C. Rubin, et al.. (2022). Efficient quantum computation of molecular forces and other energy gradients. Physical Review Research. 4(4). 37 indexed citations
13.
Malone, Fionn D., Robert M. Parrish, Thomas Fox, et al.. (2022). Towards the simulation of large scale protein–ligand interactions on NISQ-era quantum computers. Chemical Science. 13(11). 3094–3108. 27 indexed citations
14.
Seidel, Christian, et al.. (2022). Output statistics of quantum annealers with disorder. Physical review. A. 105(4). 3 indexed citations
15.
Streif, Michael, et al.. (2021). Quantum algorithms with local particle-number conservation: Noise effects and error correction. Physical review. A. 103(4). 15 indexed citations
16.
Streif, Michael, Sheir Yarkoni, Andrea Skolik, Florian Neukart, & Martin Leib. (2021). Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm. Physical review. A. 104(1). 28 indexed citations
17.
Streif, Michael & Martin Leib. (2020). Forbidden subspaces for level-1 quantum approximate optimization algorithm and instantaneous quantum polynomial circuits. Physical review. A. 102(4). 6 indexed citations
18.
Yarkoni, Sheir, Martin Leib, Andrea Skolik, et al.. (2019). Volkswagen and quantum computing: An industrial perspective. 3(2). 34–37. 5 indexed citations
19.
Streif, Michael, Andreas Buchleitner, Dieter Jaksch, & Jordi Mur-Petit. (2016). Measuring correlations of cold-atom systems using multiple quantum probes. Physical review. A. 94(5). 30 indexed citations
20.
Streif, Michael & O. Anne E. Rasa. (2001). Divorce and its consequences in the Common Blackbird Turdus merula. Ibis. 143(3). 554–560. 31 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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