EU Projects
Projects funded by European Union
Summary
This was followed by the Dynamic Resource Allocation project, which expanded the company’s work into industrial environments affected by disruptions and uncertainty. In this project, Quantumz.io Sp. z o.o. developed the XaosQ system for dynamic resource allocation and rescheduling, combining physically inspired algorithms (including quantum methods), stochastic disruption models, and schedule stability metrics.
This trajectory is explored further by developing a hybrid classical-quantum optimization system based on physical algorithms and chaotic quantum annealing, including a new optimization algorithm, intelligent solver and parameter selection modules (QUBO/Ising), and a prototype service platform for large-scale optimization challenges in logistics, manufacturing, energy, finance, and smart city applications.
In terms of EU grant funding, Quantumz.io Sp. z o.o. received PLN 5,722,716.35 for VeloxQ, PLN 11,728,260.00 for the Dynamic Resource Allocation / XaosQ project, and PLN 7,971,927.00 for the latest chaotic quantum annealing project. Together, these projects secured a total of PLN 25,422,903.35 in EU co-funding, with a combined project value of PLN 35,704,059.75. This demonstrates a strong and sustained strategy of using European funding to build proprietary hybrid optimization technologies, strengthen in-house research capabilities, and commercialize advanced optimization services for industry.
Our EU projects
Quantum Sp. z o.o. obtained funding for the implementation of the project entitled: “VeloxQ: the use of dynamic systems in decision-making processes based on knowledge obtained in the machine learning process, at various levels of complexity, in the optimization of industrial processes” implemented under Measure 1.1. of the Smart Growth Operational Programme 2014-2020, co-financed by the European Regional Development Fund, Grant Agreement No. POIR.01.01.01-00-0061/22-00 dated 11.05.2023.
Project objective
Development of digital solutions for solving combinatorial optimization problems learned from data by AI systems. As part of the research work, integrated algorithms (using classical and quantum resources) will be developed into a platform providing innovative services under the name veloxQ, using in particular dynamic systems in decision-making processes at various levels of complexity in the optimization of industrial processes.
Implementation period:
01.01.2023 – 31.12.2023
Project value:
Total value: PLN 7 528 727,06
Eligible expenditure: PLN 7 528 727,06
ERDF funding obtained: PLN 5 722 716,35
PROJECT TITLE: “Dynamic Resource Allocation in Industrial Ecosystems Prone to Disruptions Using Physically-Inspired Algorithms and Machine Learning”
PROJECT OBJECTIVE: Development of an innovative tool for optimizing resource management and scheduling in situations of dynamic changes and disruptions.
BENEFICIARY: QUANTUMZ.IO Limited Liability Company
PROJECT SUBJECT
Quantumz.io Limited Liability Company is implementing a project entitled “Dynamic Resource Allocation in Industrial Ecosystems Prone to Disruptions Using Physically-Inspired Algorithms and Machine Learning,” co-financed by the European Union funds within the European Funds for a Modern Economy Program. The subject of the project is the development of the XaosQ information system for managing dynamic resource allocation in an environment susceptible to disturbances. For this purpose, physically-inspired algorithms, including quantum algorithms, and methods from the field of machine learning will be utilized. A stochastic model of disturbances occurring in the process of dynamic resource allocation and a scheduling model generating stable solutions will be developed.
Research
STAGE 1
Stochastic Model of Disturbances
Construction and simulations of a stochastic model of disturbances occurring in the process of dynamic resource allocation.
STAGE 2
Costs of Stability
Determining the measure of costs of (in)stability of the schedule.
STAGE 3
Scheduling Model
Development of a scheduling model that generates solutions stable with respect to stability measures.
STAGE 4
Rescheduling Algorithm
Development of an algorithm that enables dynamic resource allocation (rescheduling) considering cost functions along with preliminary implementation.
STAGE 5
HPC Implementation
Implementation of algorithms from previous stages utilizing HPC resources in the form of a prototype solution.
Project Objective
The objective of the project is to develop an innovative tool for optimizing resource management and scheduling in situations of dynamic changes and disruptions. By using hybrid approaches that combine classical and quantum technologies, the algorithm will enable companies in these industries to quickly and efficiently respond to disturbances, minimizing their impact on schedules and reducing the cascading effect. The target group for the project’s results is the aviation industry (aircraft scheduling problem; ASP) and the transportation industry (vehicle routing problem; VRP).
Project Outcome
The result of the project will be a new innovative service, XaosQ – dynamic resource allocation in industrial ecosystems prone to disturbances, which will change the way companies handle disruptions, contributing to the transformation of the target market. The introduction of the service to the market will contribute to competitive advantage and market value growth, accelerating the transformation towards the use of advanced computing technologies and preparing the sector for the era of quantum computing. XaosQ will become a key element in the future management of resources, logistics, and digital security, influencing the acceleration of the transformation of the target market.
Project Value
16 136 370 PROJECT VALUE IN PLN
11 728 260 GRANT VALUE IN PLN
- #FunduszeUE
- #FunduszeEuropejskie
Quantumz.io Sp. z o. o. is implementing the project entitled “Development by Quantumz.io of an integrated classical-quantum system based on physical algorithms and chaotic quantum annealing for solving discrete optimization problems”, co-financed by the European Union under the European Funds for a Modern Economy Programme.
SUBJECT OF THE PROJECT: Development by QUANTUMZ.io of a product innovation in the form of a chaotic quantum annealing algorithm – an innovative numerical method using quantum annealing supported by a classical stochastic dynamic process leading to the phenomenon of state bifurcation.
BENEFICIARY: QUANTUMZ.IO Spółka z ograniczoną odpowiedzialnością
The project includes an R&D module, under which the following tasks will be carried out:
1. Development of a chaotic quantum annealing algorithm.
2. Development of a module enabling static and dynamic selection of algorithms and selection of optimal parameters for QUBO/Ising model solvers.
3. Integration of the developed algorithms into a prototype service.
Project objective
The objective of the project is to develop a solution in the form of a service for modeling, analysis, and solving discrete optimization problems, which will increase the competitiveness and innovativeness of QUANTUMZ.io and strengthen its research and development potential.
Project result
The result of the project will be a deployment-ready solution containing an innovative numerical algorithm – chaotic quantum annealing (CQA).
The main objective of the project implementation is to increase the competitiveness and innovativeness of QUANTUMZ.io.
The objective of the project is also to develop and strengthen the company’s research and innovation capacities through the implementation of R&D work, in connection with adapting the company’s operations to the challenges identified in the European Green Deal.
Target group
The target group for the project results will be all organizations that struggle with large, difficult optimization problems where classical methods are insufficient or too slow. In particular, these will include companies from the transport and logistics sector (e.g., fleet operators, distribution centers, courier companies), industry and manufacturing (manufacturing plants, component manufacturers, automation companies), energy (grid operators, power plants, renewable energy companies), finance and insurance (institutions managing risk and portfolios), as well as technology, research, and smart-city organizations dealing with large network analysis, scheduling, resource planning, or process optimization.
Project value
11 667 816,25 PROJECT VALUE IN PLN
7 971 927,00 FUNDING VALUE IN PLN
POIR.01.01.01-00-0061/22-00
FENG.01.01–IP.02–0625/23
FENG.01.01-IP.02-0831/24
POIR.01.01.01-00-0061/22-00
FENG.01.01–IP.02–0625/23
FENG.01.01-IP.02-0831/24