SubsidieMeestersEnabling efficient computation on fault tolerant quantum computers
Develop a suite of hardware-agnostic quantum algorithms to optimize quantum circuits, enabling faster solutions to complex business problems beyond classical computing capabilities.
Projectdetails
Introduction
Our solution is an innovative suite of hardware-agnostic quantum algorithms, along with their hardware-aware implementations.
Overview
Our solution will consist of a complete, multi-level set of techniques that reduce quantum circuit size and improve their fidelity when executed on real quantum hardware. We will enable relevant business problems, too difficult for conventional computing, to be solved several years earlier.
Exemplary Solution Components
The exemplary solution consists of:
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Application Layer: This layer reduces the problem (classically) to the form best suited for quantum computing (QC). For example, in the case of routing, this is the parallel Traveling Salesman Problem (TSP) reduced to a maximum 2-SAT.
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Optimisation Layer: This layer contains features guaranteeing optimal representation given the problem size. This includes our decomposition techniques for multi-control quantum gates.
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Implementation Layer: This layer guarantees optimal use of the hardware, including hardware-aware implementation that takes into account the topology (qubit connectivity) and native gate set.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.499.999 |
| Totale projectbegroting | € 4.628.617 |
Tijdlijn
| Startdatum | 1-7-2023 |
| Einddatum | 31-12-2025 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- BEIT SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIApenvoerder
Land(en)
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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 |
Algorithms, Security and Complexity for Quantum ComputersThis project aims to develop general techniques for designing quantum algorithms that accommodate early quantum computers' limitations and security needs, enhancing practical applications across various fields. | ERC STG | € 1.499.798 | 2022 | Details |
Verifiying Noisy Quantum Devices at ScaleThis project aims to develop scalable, secure methods for characterizing and certifying quantum devices using interactive proofs, facilitating reliable quantum computation and communication. | ERC COG | € 1.997.250 | 2023 | Details |
SCALABLE MULTI-CHIP QUANTUM ARCHITECTURES ENABLED BY CRYOGENIC WIRELESS / QUANTUM -COHERENT NETWORK-IN PACKAGEThe QUADRATURE project aims to develop scalable quantum computing architectures with distributed quantum cores and integrated wireless links to enhance performance and support diverse quantum algorithms. | EIC Pathfinder | € 3.420.513 | 2023 | 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.
Algorithms, Security and Complexity for Quantum Computers
This project aims to develop general techniques for designing quantum algorithms that accommodate early quantum computers' limitations and security needs, enhancing practical applications across various fields.
Verifiying Noisy Quantum Devices at Scale
This project aims to develop scalable, secure methods for characterizing and certifying quantum devices using interactive proofs, facilitating reliable quantum computation and communication.
SCALABLE MULTI-CHIP QUANTUM ARCHITECTURES ENABLED BY CRYOGENIC WIRELESS / QUANTUM -COHERENT NETWORK-IN PACKAGE
The QUADRATURE project aims to develop scalable quantum computing architectures with distributed quantum cores and integrated wireless links to enhance performance and support diverse quantum algorithms.