SubsidieMeestersQuantum Tensor Engine
The Quantum Tensor Engine (QTEngine) aims to provide a user-friendly software framework for efficient implementation of quantum algorithms in simulation, machine learning, and optimization.
Projectdetails
Introduction
Quantum computers harness fundamental aspects of quantum behavior to drive exponential increases in the speed with which certain computations can be performed. They have potentially a tremendous long-term impact in areas such as quantum many-body physics and material science, and further afield in machine learning.
Quantum Many-Body Problems
The quantum many-body problems studied by condensed matter physicists are perhaps the most likely to yield early demonstrations of this potential. However, current and near-term intermediate-scale quantum (NISQ) devices are limited in the number of operations that they can carry out before their performance is degraded by interactions with the environment.
Need for Specialized Algorithms
To take advantage of these platforms and to outperform classical computers, highly efficient and specialized quantum algorithms are required. The implementation and benchmarking of these basic algorithms on different quantum computing platforms is challenging and requires a detailed knowledge of the underlying physics.
Our Approach
Our approach is to produce a ready-to-use, highly innovative software package based upon quantum tensor networks.
Quantum Tensor Engine (QTEngine)
The Quantum Tensor Engine (QTEngine) will provide a unifying framework for both quantum and classical algorithms. The QTEngine will serve as an engine to drive fast and easy implementation of:
- Quantum simulation
- Quantum machine learning
- Optimization algorithms
Target User Base
The anticipated user base includes academic groups as well as commercial research and development groups.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 150.000 |
| Totale projectbegroting | € 150.000 |
Tijdlijn
| Startdatum | 1-7-2024 |
| Einddatum | 31-12-2025 |
| Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- TECHNISCHE UNIVERSITAET MUENCHENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
MANUNKIND: Determinants and Dynamics of Collaborative ExploitationThis project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery. | ERC STG | € 1.497.749 | 2022 | Details |
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressureThe UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance. | ERC STG | € 1.498.280 | 2022 | Details |
Uncovering the mechanisms of action of an antiviral bacteriumThis project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function. | ERC STG | € 1.500.000 | 2023 | Details |
The Ethics of Loneliness and SociabilityThis project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field. | ERC STG | € 1.025.860 | 2023 | Details |
MANUNKIND: Determinants and Dynamics of Collaborative Exploitation
This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure
The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.
Uncovering the mechanisms of action of an antiviral bacterium
This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
The Ethics of Loneliness and Sociability
This project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
FIrst NEar-TErm ApplicationS of QUAntum DevicesFINE-TEA-SQUAD aims to create a unifying framework for practical NISQ device applications by developing scalable protocols, certification tools, and a quantum network to enhance performance. | ERC STG | € 1.485.042 | 2022 | Details |
Delineating the boundary between the computational power of quantum and classical devicesThis project aims to assess and leverage the computational power of quantum devices, identifying their advantages over classical supercomputers through interdisciplinary methods in quantum information and machine learning. | ERC ADG | € 1.807.721 | 2024 | Details |
Probing Gauge Symmetries and Gauge-Matter Interactions using Tensor NetworksGaMaTeN aims to develop tensor network methods for studying quantum lattice systems with gauge symmetries, enhancing simulations and understanding of complex quantum phenomena. | ERC COG | € 1.997.500 | 2024 | Details |
Artificial Scientific Discovery of advanced Quantum Hardware with high-performance SimulatorsARTDISQ aims to leverage AI and high-performance simulators to automate the design of advanced quantum experiments, enhancing discoveries in gravitational wave detection and imaging systems. | ERC STG | € 1.499.221 | 2025 | Details |
FIrst NEar-TErm ApplicationS of QUAntum Devices
FINE-TEA-SQUAD aims to create a unifying framework for practical NISQ device applications by developing scalable protocols, certification tools, and a quantum network to enhance performance.
Delineating the boundary between the computational power of quantum and classical devices
This project aims to assess and leverage the computational power of quantum devices, identifying their advantages over classical supercomputers through interdisciplinary methods in quantum information and machine learning.
Probing Gauge Symmetries and Gauge-Matter Interactions using Tensor Networks
GaMaTeN aims to develop tensor network methods for studying quantum lattice systems with gauge symmetries, enhancing simulations and understanding of complex quantum phenomena.
Artificial Scientific Discovery of advanced Quantum Hardware with high-performance Simulators
ARTDISQ aims to leverage AI and high-performance simulators to automate the design of advanced quantum experiments, enhancing discoveries in gravitational wave detection and imaging systems.