Draft:Quanscient
Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 4,918 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |
This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
Declined by SeoR 7 months ago.
|
This draft reads like an advertisement. Wikipedia is an encyclopedia, not a platform for promotion or marketing. Drafts that are exclusively promotional may be deleted without notice.
Declined by Deb 7 months ago.Wikipedia articles must be written neutrally in a formal, impersonal, and dispassionate way. They should not read like a blog post, advertisement, or fan page. Rewrite the draft to remove:
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have a conflict of interest (e.g. you are the subject, an employee, or a relative) or are being paid to edit, you must disclose this to comply with Wikipedia's Terms of Use. |
Comment: Skeletal but factually OK, now with decent referencing. But it simply does not show why it is notable - why this company, of the hundreds of prospects - has it done something especially interesting, original, impactful? SeoR (talk) 20:02, 26 November 2025 (UTC)
Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Qulizard (talk) 12:11, 31 October 2025 (UTC)
Quanscient Oy is a Finnish software company that develops cloud-native multiphysics simulation software and researches quantum algorithms for engineering applications. The company is headquartered in Tampere, Finland, and was founded in 2021 by Juha Riippi, Valtteri Lahtinen, Alexandre Halbach, and Asser Lähdemäki.[1][2][3]
History
[edit]Quanscient was established in 2021 in Tampere, Finland. [1][3]
In April 2023, the company raised €3.9 million in seed financing led by Maki.vc, with participation and non‑equity support from Business Finland.[4][5][6]
In November 2024, Quanscient raised €5.2 million in growth funding led by Crowberry Capital, with participation from Speen Holding, Maki.vc, and First Fellow Partners.[7][8][9]
In May 2026, Quanscient raised €10 million in Series A funding led by 55 North and B&C Group, with participation from existing investors Maki.vc, Crowberry Capital, QAI Ventures, and First Fellow Partners.[10][11][12]
Products and technology
[edit]Quanscient’s main product is Quanscient Allsolve, a cloud‑based FEM multiphysics simulation platform.[13][14] The software has been utilized in academic and industrial research, such as in the modeling of ultrasound transducer chip designs and high-temperature superconductor (HTS) stellarator coils for fusion reactors.[15][16]
Quantum algorithm research
[edit]Quanscient Quantum Labs has worked on quantum‑classical approaches for computational fluid dynamics. In 2025, IQM reported a demonstration by Quanscient of a 3D advection–diffusion simulation using the quantum lattice Boltzmann method on IQM’s 54‑qubit Emerald processor.[17][18]
In February 2025, Quanscient partnered with Airbus and Oxford Ionics as part of the UK National Quantum Computing Centre's SparQ programme. The project applies Quanscient's algorithms and Oxford Ionics' hardware to computational fluid dynamics simulations for airfoil and aerodynamic modeling.[19]
In April 2026, Quanscient and quantum middleware developer Haiqu executed a 15-step nonlinear fluid simulation around a solid obstacle using an IBM Heron R3 processor.[20][21] The companies described the demonstration as the most physically complex quantum computational fluid dynamics simulation run on real hardware to date.[22] The simulation utilized their co-developed One-Step Simplified Lattice Boltzmann Method (OSSLBM) to reduce circuit depth, allowing the system to model fluid behavior interacting with a solid boundary.[23][22]
Awards and recognition
[edit]In 2023, WIRED listed Quanscient among the “Hottest Startups in Helsinki.”[1]
In January 2024, Fujitsu announced Quanscient as the first‑prize winner of the Fujitsu $100,000 Quantum Simulator Challenge.[24]
References
[edit]- ^ a b c Stokel-Walker, Chris. "The Hottest Startups in Helsinki". Wired. ISSN 1059-1028. Retrieved 2025-10-31.
- ^ paivis (2021-12-17). "Quanscient – developer of quantum algorithms from Tampere, Finland". Business Tampere. Retrieved 2025-10-31.
- ^ a b "Quanscient - yritystiedot, päättäjät, taloustiedot". Finder (in Finnish). Retrieved 2025-10-31.
- ^ "Quanscient raises €3.9 million to help bring products to market faster with its quantum computing-powered solution". Tech.eu. 2023-04-20. Retrieved 2025-10-31.
- ^ "Finland-based Quanscient bags €3.9M to accelerate product development with cloud, quantum-powered simulations - Silicon Canals". 2023-04-20. Retrieved 2025-10-31.
- ^ "Kvanttiteknologiayritys Quanscientille 3,9 miljoonan euron rahoitus – suomalainen innovaatio nopeuttaa teollisuuden tuotekehitystä merkittävästi". Pääomasijoittajat (in Finnish). Retrieved 2025-10-31.
- ^ Escárzaga, Antonio L. (2024-11-05). "Tampere-based Quanscient secures €5.2 million to bring engineering simulation into the quantum era". EU-Startups. Retrieved 2025-10-31.
- ^ "Quanscient bags €5.2M for its multiphysics simulation platform - Silicon Canals". 2024-11-05. Retrieved 2025-10-31.
- ^ "Funding of €5.2M marks new growth phase for Finnish startup's quantum-powered simulation platform - ArcticStartup". 2024-11-05. Retrieved 2025-10-31.
- ^ "Quanscient lands €10M to advance AI- and quantum-native hardware engineering". Tech.eu. 2026-05-26. Retrieved 2026-05-27.
- ^ Swayne, Matt (2026-05-26). "Finland's Quanscient Announces €10 Million Raise". The Quantum Insider. Retrieved 2026-05-27.
- ^ Stanciuc, Ana-Maria (2026-05-26). "Finland's Quanscient raises €10M to build a quantum- and AI-native simulation platform". TNW | Startups-Technology. Retrieved 2026-05-27.
- ^ "AWS Marketplace: Quanscient Allsolve". aws.amazon.com. Retrieved 2025-10-31.
- ^ www.duodesign.co.uk. "NAFEMS Quanscient.allsolve". NAFEMS. Retrieved 2025-10-31.
- ^ Subbiah, Nilavazhagan; Banker, Jash; Mohanraj, Soundara Pandian; Dominik, Braig; Landgraf, Erhard; Pregl, Sebastian; Khouya, Bassou; Halbach, Alexandre; Tweedie, Andrew (April 2025). "Modeling and Simulation of Cmut and Pmut Ultrasound Transducers and Package Using a Multiphysics Approach". 2025 26th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). pp. 1–7. doi:10.1109/EuroSimE65125.2025.11006581. ISBN 979-8-3503-9300-2.
- ^ Benkel, Tara; Lyly, Mika; Ruuskanen, Janne; Halbach, Alexandre; Lahtinen, Valtteri; Riva, Nicolo (August 2025). "Modelling of a Large-Scale Non-Insulated Non-Planar HTS Stellarator Coil Using Quanscient Allsolve". IEEE Transactions on Applied Superconductivity. 35 (5): 1–5. arXiv:2502.18133. Bibcode:2025ITAS...3545407B. doi:10.1109/TASC.2025.3545407. ISSN 1558-2515.
- ^ "First 3D diffusion simulation on an IQM superconducting Quantum Chip using the Quantum Lattice Boltzmann Method - IQM Quantum Computers". Retrieved 2025-10-31.
- ^ Müller, Andreas (2025-08-27). "3D-Simulation: Quantencomputing beschleunigt Diffusionsberechnungen". AUTOCAD Magazin (in German). Retrieved 2025-10-31.
- ^ "Oxford Ionics, Quanscient and Airbus to develop quantum computing aerospace applications | Engineer Live". www.engineerlive.com. 2024-12-17. Retrieved 2026-05-27.
- ^ Abdel-Kareem, Mohamed (2026-04-02). "Quanscient and Haiqu Demonstrate Algorithm for Scalable Computational Nonlinear Fluid Simulations". Quantum Computing Report. Retrieved 2026-05-13.
- ^ "New Quanscient and Haiqu algorithm targets scalable fluid simulations on quantum computers". SiliconANGLE. 2026-04-02. Retrieved 2026-05-13.
- ^ a b Stanciuc, Ana-Maria (2026-04-02). "Quanscient and Haiqu ran a 15-step nonlinear quantum fluid simulation". TNW | Quantum-Tech. Retrieved 2026-05-13.
- ^ Bastida-Zamora, Antonio; Budinski, Ljubomir; Kerppo, Oskari; Lahtinen, Valtteri; Niemimäki, Ossi; Steadman, William; Zamora-Zamora, Roberto; Sagaut, Pierre; Bohun, Vladyslav (2026-03-02), Quantum algorithm for the lattice Boltzmann method with applications on real quantum devices, arXiv:2603.02127, retrieved 2026-05-13
- ^ "Fujitsu announces winners of the Fujitsu quantum simulator challenge". Fujitsu Global. Retrieved 2025-10-31.
- Draft articles about computing
- Draft articles about technology
- AfC submissions on organisations existing today
- Pending AfC submissions
- AfC pending submissions by age/1 day ago
- AfC submissions by date/25 June 2026
- AfC submissions by date/13 May 2026
- AfC submissions by date/02 November 2025
- AfC submissions by date/31 October 2025


LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice.
These tools are prone to specific issues that violate our policies:
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject.
See the advice page on large language models for more information.