Multiverse Computing is a Spanish quantum computing software company that applies quantum and quantum-inspired algorithms to solve problems in various industries such as energy, logistics, manufacturing, mobility, life sciences, finance, cybersecurity, chemistry, materials science, and aerospace. Their platform, Singularity, allows users without prior knowledge of quantum computing to use quantum algorithms via tools such as Microsoft Excel.

Multiverse Computing

Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU.
We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.

Digital methods usually fail at efficiently tackling these problems. Quantum computing, however, provides us with a powerful toolbox to tackle these complex problems, such as outstanding optimization methods, software for quantum machine learning, and quantum enhanced Monte Carlo algorithms.

Multiverse Computing applies these cutting edge methods to provide software which is customized to your needs, giving companies a chance to derive value from the second quantum revolution.

European Innovation Council

EIT Digital

Innovate UK

Mondragón Corp.

Neotec Capital Riesgo

Seed Gipuzkoa (SPRI)

BIC Gipuzkoa Berrilan

Penja Strategy

Quantonation

Creative Destruction Lab (CDL)

EASO Ventures

Inveready

JME Ventures

🥂Multiverse Computing wishes you all a happy new year🥂

Award finalist Multiverse Computing
#FutureUnicornAward for the 2024.

🇪🇸🦄 Multiverse Computing

Thanks to the organizers of the award DIGITALEUROPE 

Thanks to AMETIC (Multiverse Computing is a member of AMETIC, Spain's leading technology business association) for submitting us for the award.

Congratulations also to the rest of the finalists:

🇧🇪🦄 Aerospacelab
🇩🇰🦄 Veo Technologies

The winner will be crowned by Ili Ivanova at #MoD2024. Come join us!

🔗 bit.ly/3ud6fJ5

On January 30th 2024, Multiverse Computing was invited by The Basque Minister for Economic Development, Sustainability and the Environment, Arantxa Tapia, for the inauguration of the Basque Trade & Investment / Agencia Vasca de Internacionalización Office in Montréal.
Yoan Mandari Mendomo represented Multiverse Computing at the event, participating in discussions on how the Basque delegation can support companies as executives face challenges presented by language barriers, immigration law, and evangelizing the benefits of new technology to the government and market. 
We are grateful to be part of Quebec’s flourishing technology ecosystem and look forward to continuing to advocate for the diverse Basque foreign network alongside the leaders of the growth effort – Basque Government's Minister for Economic Development, Sustainability and the Environment, Arantxa Tapia; Deputy Minister for Industry, Mikel Amundarain Leibar; General Director of Basque Trade & Investment, Ainhoa Ondarzabal; and Director of Basque Trade & Investment Office in Montréal, David Cormier. 
#BasqueIndustry #Quantum

🚨 Exciting News from Multiverse Computing! We're thrilled to announce our partnership with Natixis Corporate & Investment Banking, part of the Groupe BPCE , in the #GAUPRO project, a significant leap in banking sector innovation through quantum computing. 

This project aims to enhance the risk assessment of derivative portfolios using advanced #quantum #regression techniques. 
more info : https://lnkd.in/dBypnWsr

A huge thank you to the Région Ile de France, TERATEC, GENCI and Le Lab Quantique for their invaluable support in this venture. Together, we're pushing the boundaries of quantum computing in the financial industry.

Stay tuned for more updates on how we're transforming risk assessment in finance. 

#quantumcomputing #financeinnovation

Borja Aizpurua Altuna  de Multiverse Computing participa en XIV Seminario de Invierno CAPAP-H, La Laguna (Tenerife) en el apartado de empresas con la ponencia sobre “Quantum and Quantum-Inspired Solutions for Industry.” 

Una altísima participación tanto en las ponencias como en el número de asistentes.

https://lnkd.in/dbv4tiHg

#quantumcomputing
#MultiverseComputing

Multiverse Computing participa en el consorcio para desarrollar el proyecto ONTZHi que Investigará tecnologías para el almacenamiento y transporte seguro del hidrógeno.”

ONTZHi busca reducir el espesor de la pared de los tanques, mejorar la resistencia mecánica de los materiales, reducir costos, desarrollar tanques reciclables y con baja permeación al hidrógeno, y aumentar la eficiencia y sostenibilidad de los tanques, entre otros objetivos, según indicaron desde la iniciativa.

El consorcio está formado por siete entidades: cuatro centros tecnológicos, TECNALIA Research & Innovation (coordinador), CIDETEC y Tekniker dos unidades de I+D empresariales, Multiverse Computing y Petronor, S.A. Innovación; y el @Cluster de Energía.

#MultiverseComputing

https://lnkd.in/dnKrWtZP

#AIWednesday 🌌✨Astounding News from the Quantum - Artificial Intelligence Frontier!✨🌌

🚀As a passionate quantum physicist, AI expert, and relentless futurist, I'm electrified to share with you a monumental leap in AI and quantum technologies - the launch of #CompactifAI by Multiverse Computing 🌠. This innovative tool, harnessing the power of quantum-inspired tensor networks, is set to revolutionize Large Language Models (LLMs) like never before! My heartiest congratulations to the Multiverse team for this remarkable achievement (Andrei Voicu Tomut Saeed S. Jahromi Sukhbinder Singh Faysal Ishtiaq Rabby Prabdeep Singh Bajaj Gianni Del Bimbo Mehrazin Alizadeh Pablo Martín Ramiro, PhD Muhammad Ibrahim Oussama Tahiri Alaoui Samuel Mugel, PhD Román Orús). 🎉👏

🔍Why does this matter to us, the architects of tomorrow? Imagine compressing the colossal architectures of LLMs, making them nimbler, more energy-efficient, and paving the way for AI's seamless integration across industries and devices. CompactifAI achieves an extraordinary feat - reducing the LlaMA-2 7B model to 30% of its original size while preserving over 90% of its accuracy post-compression. This isn't just compression; it’s a transformation allowing for rapid, cost-effective AI scaling and innovation. 🧠💡

🔎The question now is, how can we leverage CompactifAI's groundbreaking capabilities in our projects and research? Whether it's creating smarter, energy-efficient AI tools, spurring the next wave of on-site, real-time AI applications, or even elevating the efficiency of training and operations in LLMs, the possibilities are boundless. 🌍🔧

🤔So, fellow innovators and change-makers, I pose these questions to you:
- How will CompactifAI's reduction in energy and computation demands shape the future of your industry?
- In what ways could this tool democratize AI, bringing powerful computational capabilities to the edge?
- And most importantly, how will you harness this technology to craft solutions that were previously deemed impossible?

Quote of the day: "𝙐𝙣𝙡𝙚𝙖𝙨𝙝𝙞𝙣𝙜 𝙩𝙝𝙚 𝙁𝙪𝙩𝙪𝙧𝙚 𝙤𝙛 𝘼𝙄: 𝘾𝙤𝙢𝙥𝙖𝙘𝙩𝙞𝙛𝘼𝙄 𝙍𝙚𝙙𝙚𝙛𝙞𝙣𝙚𝙨 𝙀𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙘𝙮, 𝙋𝙤𝙬𝙚𝙧𝙞𝙣𝙜 𝙖 𝙂𝙧𝙚𝙚𝙣𝙚𝙧, 𝙎𝙢𝙖𝙧𝙩𝙚𝙧 𝙒𝙤𝙧𝙡𝙙 𝙤𝙛 𝙇𝙞𝙢𝙞𝙩𝙡𝙚𝙨𝙨 𝙋𝙤𝙨𝙨𝙞𝙗𝙞𝙡𝙞𝙩𝙞𝙚𝙨!" 𝙗𝙮 𝘿𝙧. 𝘽𝙚𝙣𝙟𝙖𝙢𝙞𝙣 𝘿𝙀𝙇𝙎𝙊𝙇

Let's embark on this exhilarating journey together, exploring, innovating, and shaping a future where AI is not just powerful but also sustainable and ubiquitous. The AI-Quantum revolution is here, and it’s ours to lead.😉👍🚀😎

Michel Kurek Dr. Miriam Meckel Enrique Lizaso Olmos Raj Patel Chi-Guhn Lee Pierre Castellani Chia-Wei Hsing Serkan Şahin Esperanza Cuenca Gómez Bob Resmerita Bob Dameron Alexandra Beckstein Prof. Dr. Ingrid Vasiliu-Feltes Julien Lacheré, Eng.  DELSOL IP

#QuantumComputing #MachineLearning #ai #innovation #DELSOLIP #benjamindelsol

Quantum Machine Learning for Utility Analytics 

The Utility Analytics Institute (UAI) Institute just published an article by Multiverse’s Gianni Del Bimbo and Aser Cortines that explains how quantum machine learning (QML) enables data-driven solutions to meet the needs of the green energy transition. 📊 

Utilities companies collect immense volumes of data every day, including information on consumption patterns, equipment health and environmental conditions.  

Quantum algorithms are more suited than classical ones to simulating the dynamics of complex and intricate systems such as weather forecasting, an increasingly crucial variable as renewable energy sources continue to grow.🌦 
 

QML can efficiently make real-time predictions of energy production, which presents a challenge for classical methods due to the need to recompute large amounts of data multiple times per day. ⚡ 
 
 Check out the full article here: 
https://lnkd.in/e42mt9xP
 
#utilityanalytics #machinelearning #quantumcomputing #datascience

I Jornadas Tecnológicas del Notariado, un encuentro en el que expertos del sector debatieron sobre la criptografía y el desarrollo de los ordenadores cuánticos.

Un orgullo participar en la jornada organizada por el Consejo General del Notariado y ANCERT.

Victor Gaspar CSO de Multiverse computing compartió mesa redonda junto a grandes profesionales del sector.

Víctor Gaspar puso el foco sobre la utilización de algoritmos de inspiración cuántica en casos prácticos, como la prevención del fraude. 
“Esta tecnología puede servir como herramienta de monitorización para distinguir patrones inusuales en los datos de transacciones, permitiendo así analizar aquellas operaciones que se identifiquen como potencialmente fraudulentas sin necesidad de entrenamiento o categorización manual”.

https://lnkd.in/dH7RUQHG

#quantumcomputing
#MultiverseComputing

𝑪𝑶𝑴𝑷𝑨𝑪𝑻𝑰𝑭𝑨𝑰 => 𝑴𝒂𝒌𝒆 𝑨𝑰 𝒎𝒐𝒓𝒆 𝒂𝒇𝒇𝒐𝒓𝒅𝒂𝒃𝒍𝒆, 𝒂𝒄𝒄𝒆𝒔𝒔𝒊𝒃𝒍𝒆 𝒂𝒏𝒅 𝒆𝒇𝒇𝒊𝒄𝒊𝒆𝒏𝒕
Research Paper
By Multiverse Computing 

CompactifAI: 
Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks.

Andrei Voicu Tomut, Saeed S. Jahromi, Sukhi Singh, Faysal Ishtiaq, Cesar Muñoz, Prabdeep Singh Bajaj, Ali Elborady, Gianni Del Bimbo, Mehrazin Alizadeh, David Montero, Pablo Martín Ramiro, PhD, Muhammad Ibrahim, Oussama Tahiri Alaoui, John Malcolm, Samuel Mugel, PhD, Román Orús.

Download research paper PDF:
https://lnkd.in/d7ZGPJfD

Video (EN):
https://lnkd.in/dKj2h9AU

Large Language Models (LLMs) such as ChatGPT and LlaMA are advancing rapidly in generative Artificial Intelligence (AI), but their immense size poses significant challenges, such as huge training and inference costs, substantial energy demands, and limitations for on-site deployment. 

Traditional compression methods such as pruning, distillation, and low-rank approximation focus on reducing the effective number of neurons in the network, while quantization focuses on reducing the numerical precision of individual weights to reduce the model size while keeping the number of neurons fixed. 

While these compression methods have been relatively successful in practice, there's no compelling reason to believe that truncating the number of neurons is an optimal strategy. In this context, this paper introduces CompactifAI, an innovative LLM compression approach using quantum-inspired Tensor Networks that focuses on the model's correlation space instead, allowing for a more controlled, refined and interpretable model compression. 

Our method is versatile and can be implemented with - or on top of - other compression techniques. As a benchmark, we demonstrate that CompactifAI alone enables compression of the LlaMA-2 7B model to only 30%90%

hashtag
#quantumcomputing
hashtag
#MultiverseComputing

msh id	COM:MULTIVERSECOMPUTING
symbol	-
name	Multiverse Computing
homepage url	https://multiversecomputing.com
country	ES
sector	Technology
industry	Quantum Computing
market	PRIVATE
employee count	99
crunchbase url	https://www.crunchbase.com/organization/multiverse-computing
linkedin url	https://www.linkedin.com/company/multiversecomputing
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growth score 14	-
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growth score 90	-
growth score 365	-

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COM:MULTIVERSECOMPUTING

Multiverse Computing

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