Román Orús
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| Román Orús | |
|---|---|
| Born | January 4, 1979 Barcelona |
| 🏳️ Nationality | Spanish |
| 🏫 Education | PhD in Physics |
| 🎓 Alma mater | Universidad de Barcelona |
| 💼 Occupation | |
| 👔 Employer | Multiverse Computing, Donostia International Physics Center |
| 🏅 Awards | Future Unicorn Award (Multiverse Computing, 2024), Top 100 most promising AI startup (Multiverse Computing, 2023), European Physical Society Early Career Prize (2014), Marie Curie IIF Award (2009), Honorable Mention in the Václav Votruba Prize (2008) |
Román Orús Lacort (Barcelona, 1979) is a Spanish theoretical physicist who specializes in quantum information science and quantum tensor networks. He is Ikerbasque Research Professor at the Donostia International Physics Center (DIPC), as well as co-founder and Chief Scientific Officer of Multiverse Computing.[1][2][3][4][5]
Education and career[edit]
Román Orús studied physics at the University of Barcelona where he obtained his Ph.D. supervised by José Ignacio Latorre in 2006. Orús' doctoral thesis, “Entanglement, quantum phase transitions and quantum algorithms," connected quantum algorithms with quantum phase transitions.[6]
Afterwards he developed tensor networks to study high-dimensional quantum complex systems as a research fellow at the University of Queensland (Brisbane, Australia) with Guifré Vidal, and at the Max Planck Institute of Quantum Optics (Garching, Germany) with Ignacio Cirac.[7]
He became Junior Professor of Condensed Matter Physics at the Johannes Gutenberg-Universität (Mainz, Germany) in 2013, and Ikerbasque Research Professor at DIPC (San Sebastián, Spain) in 2018.[8] He also held visiting professorships at CNRS (Toulouse, France) and DIPC and has lectured at the Institute for Pure and Applied Mathematics at UCLA.[9][10]
In 2014 he published “A Practical Introduction to Tensor Networks” which describes the applications of Matrix Product States and Projected Entangled Pair States for optimization, quantum gravity, and the study of quantum many-body systems.[11]
Orús' research on tensor networks for complex quantum systems[12] contributed to the field’s modern research and applications in machine learning.[13][14][4]
In 2018, Orús wrote an article with Sam Mugel and Enrique Lizaso on the practical applications of quantum computing in finance.[15][4][16][17][18] This demonstration of quantum and financial technology for enterprise led to the creation of Multiverse Computing in 2019.[4]
Orus’ work on quantum and quantum-inspired solutions at Multiverse has also been used in projections on the future intersection of artificial intelligence and quantum computing.[1][19][3][2][20]
Scientific work[edit]
In 2023, Orus developed an algorithm for executing complex calculations on noisy intermediate scale quantum computers to solve specialized problems like optimization.[21][22][23]
Also in 2023, Orus designed a quantum-enhanced kernel method for image classification, applying quantum artificial intelligence to identify manufacturing defects.[24]
In cybersecurity, Orús demonstrated examples of possible quantum cyberattacks for symmetric-key cryptographic protocols such as AES and Blowfish that could make those ciphers vulnerable using few-qubit quantum processors.[3]
He also developed industrial applications of tensor networks for machine learning[25], using tensor networks to compress Large Language Models such as ChatGPT and LLaMA, reducing size while retaining most of the original accuracy to improve energy costs and efficiency.[4][2]
In 2014, Orús designed a tensor network algorithm to characterize topologically-ordered systems with quantum many-body entanglement.[26]
Recognition[edit]
Orús received the 2024 Physics, Innovation and Technology award from the Spanish Royal Society of Physics, which recognized Orús’ career, patents, and contributions in the field of quantum technologies.[27][28]
Other awards include an honorable mention in the Václav Votruba Prize (2008), a Marie Curie Incoming International Fellowship (2009) and the Early Career Prize of the European Physical Society (2014), which he won alongside Ian Chapman.[29][30][9]
With Multiverse Computing, Orús work was recognized by winning DIGITALEUROPE's Future Unicorn Award (2024) and CB Insights' Top 100 Most Promising AI Startup Recognition (2023).[31][32]
Orús is steering board member of the journal Quantum as well as a member of the editorial board of the journal Symmetry.[33][34]
See also[edit]
References[edit]
- ↑ 1.0 1.1 Edwards, John (14 Jun 2024). "Quantum Computing and AI: A Perfect Match?". InformationWeek. Retrieved 2024-10-17.
- ↑ 2.0 2.1 2.2 O'Shea, Dan (7 March 2024). "Multiverse's Román Orús on international growth and using quantum to tame AI". Inside Quantum Technology. Retrieved 5 April 2024.
- ↑ 3.0 3.1 3.2 Vaughan, Jack (1 November 2021). "Multiverse Computing utilizes quantum tools for finance apps". VentureBeat. Retrieved 5 April 2024.
- ↑ 4.0 4.1 4.2 4.3 4.4 Lunden, Ingrid (4 March 2024). "Multiverse raises $27M for quantum software targeting LLM leviathans". TechCrunch. Retrieved 5 April 2024.
- ↑ "EE Times Europe Author Román Orús". EE Times. 26 October 2022. Retrieved 18 April 2024.
- ↑ Orus, Roman (1 August 2006). "Entanglement, quantum phase transitions and quantum algorithms". arXiv:quant-ph/0608013.
- ↑ Orus, Roman (10 October 2007). "Ground State Fidelity from Tensor Network Representations". Physical Review Letters. 100 (8): 080601. arXiv:0709.4596. doi:10.1103/PhysRevLett.100.080601. PMID 18352611. Retrieved 5 April 2024.
- ↑ "Román Orús Lacort". Donostia International Physics Center. 9 Jan 2018. Retrieved 2024-10-17.
- ↑ 9.0 9.1 "Román Orús". Basque Foundation for Science. Retrieved 2024-10-17.
- ↑ "News on tensor Networks for machine learning and quantum computing simulation". UCLA. Retrieved 2024-10-17.
- ↑ Orus, Roman (1 October 2014). "A practical introduction to tensor networks: Matrix product states and projected entangled pair states". Annals of Physics. 349: 117–158. arXiv:1306.2164. Bibcode:2014AnPhy.349..117O. doi:10.1016/j.aop.2014.06.013. Retrieved 4 April 2024.
- ↑ Orus, Roman (5 August 2019). "Tensor networks for complex quantum systems". Nature Reviews Physics. 1 (9): 538–550. arXiv:1812.04011. Bibcode:2019NatRP...1..538O. doi:10.1038/s42254-019-0086-7. Retrieved 4 April 2024.
- ↑ "Review Articles and Learning Resources". tensornetwork.org. Retrieved 17 Sep 2024.
- ↑ Musgrave, Harvey (9 Nov 2022). "The Relationship Between Quantum Science and Machine Learning". AZo Quantum. Retrieved 17 Sep 2024.
- ↑ Orus, Roman (1 November 2019). "Quantum computing for finance: Overview and prospects". Reviews in Physics. 4. arXiv:1807.03890. Bibcode:2019RvPhy...400028O. doi:10.1016/j.revip.2019.100028. Retrieved 5 April 2024.
- ↑ Lacan, Francis (September 2020). "Getting your financial institution ready for the quantum computing revolution". IBM. Retrieved 5 April 2024.
- ↑ Bobier, Jean-Francois (16 October 2020). "It's Time for Financial Institutions to Place Their Quantum Bets". BCG. Retrieved 5 April 2024.
- ↑ Dietz, Miklos (December 2020). "How quantum computing could change financial services" (PDF). McKinsey & Company. Retrieved 5 April 2024.
- ↑ Swayne, Matt (30 December 2023). "Looking Back, Looking Ahead: Quantum Experts Reflect On 2023, Peer Into 2024". The Quantum Insider. Retrieved 8 April 2024.
- ↑ "Tensor Networks: Untangling the Mysteries of Quantum Systems". Scientia. 3 Apr 2018. Retrieved 2024-10-17.
- ↑ Lovati, Stefano (17 April 2023). "'Quantum Calculator' Algorithm Tackles Optimization Problems". EE Times Europe. Retrieved 8 April 2024.
- ↑ Baker, Berenice (14 December 2022). "Advanced Mathematical Tool Created for Quantum Computers". IoT World Today. Retrieved 8 April 2024.
- ↑ Morrison, Ryan (15 December 2022). "Multiverse creates quantum calculator for optimization issues". Tech Monitor. Retrieved 8 April 2024.
- ↑ "Multiverse Computing and IKERLAN detect defects in manufacturing with quantum computing vision". Automation Magazine UK. 17 August 2022. Retrieved 8 April 2024.
- ↑ Patel, Raj (18 April 2023). "Application of Tensor Neural Networks to Pricing Bermudan Swaptions". arXiv:2304.09750 [q-fin.CP].
- ↑ Orus, Roman (19 December 2014). "Topological Transitions from Multipartite Entanglement with Tensor Networks: A Procedure for Sharper and Faster Characterization". Physical Review Letters. 113 (25): 257202. arXiv:1406.0585. Bibcode:2014PhRvL.113y7202O. doi:10.1103/PhysRevLett.113.257202. PMID 25554905. Retrieved 5 April 2024.
- ↑ "Román Orús receives the "Physics, Innovation and Technology" award from the Spanish Royal Society of Physics-BBVA Foundation". Donostia International Physics Center. 1 Oct 2024. Retrieved 2024-10-17.
- ↑ "Fallados los Premios de Física Real Sociedad Española de Física (RSEF) – Fundación BBVA". FBBVA. 28 Sep 2024. Retrieved 2024-10-17.
- ↑ "Román Orús awarded 2014 EPS Early Career Prize of the European Physical Society". University of Mainz. 10 October 2014. Retrieved 5 April 2024.
- ↑ "The 2008 Prize". Ústav jaderné fyziky AV ČRÚstav jaderné fyziky AV ČR. 2008. Retrieved 2024-10-17.
- ↑ Donovan, Bret (19 January 2024). "Multiverse Computing Shortlisted for 'Future Unicorn' Status Among Europe's Top Tech Scale-ups". Quantum Zeitgeist. Retrieved 5 April 2024.
- ↑ "AI 100: The most promising artificial intelligence startups of 2023". CB Insights. 20 June 2023. Retrieved 5 April 2024.
- ↑ "People". Quantum. 2024. Retrieved 2024-10-17.
- ↑ "Editorial Board". MDPI. 2024. Retrieved 2024-10-17.
External links[edit]
- Official website
- Roman Orus publications indexed by Google Scholar
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