Projektbeschreibung
Rechenleistung auf kurvenreichem (nichtlinearem) Weg zum Quantensprung
Schon lange wird die Quanteninformationsverarbeitung von der Wissenschaft und der Öffentlichkeit als die nächste große Herausforderung betrachtet, die noch weit über das Hochleistungsrechnen hinausgeht. Diese Maschinen, die auf Qubits statt auf den üblichen Bits beruhen und die Eigenschaften der Quantenphysik zur Datenspeicherung und Durchführung von Berechnungen ausnutzen, sind inzwischen in kleinem Maßstab realisiert worden. Das grundlegende Ziel besteht nun darin, den durch die Quanten erreichbaren Vorteil auszunutzen und das Versprechen des Quantencomputers einzulösen, mit Problemen fertig zu werden, die mit konventionellen Computern unlösbar sind. Das EU-finanzierte Projekt QU-BOSS plant, dieses Ziel mittels eines neuartigen Ansatzes zu erreichen, bei dem die nichtlineare Dynamik in die integrierte Photonentechnologie eingebettet ist.
Ziel
After decades of progress in quantum information science, it is widely expected that in the next few years the field will start to yield practical applications in quantum chemistry, materials and pharmaceutical research, information security, and finance. For these applications to pan out, a crucial intermediate goal is to reach the quantum advantage regime, where quantum devices experimentally outperform classical computers in some computational task. The Boson Sampling problem is an example of a task that is computationally hard for classical computers, but which can be solved with a specialized quantum device using single photons interfering in a multimode linear interferometer. The aim of QU-BOSS is to experimentally push towards the quantum advantage regime with integrated photonic technology. The key innovative ingredient is the introduction of non-linearities acting at the single photon level embedded within the Boson Sampling interferometer. We plan to provide an experimental research breakthrough along three main directions, including both “hardware” and “software” components. First, we will use complementary approaches to map out how the addition of non-linearity boosts the device ́s complexity, making it harder to simulate classically. We will use different approaches to implement these devices with hybrid integrated quantum photonics, a versatile and flexible route to the manipulation of high-dimensional quantum photonic states. Finally, we will deploy the developed technology to implement two different architectures demonstrating quantum machine learning: a hybrid model of quantum computation and an optical quantum neural network. QU- BOSS aims to position integrated photonics into the NISQ (noisy, intermediate-scale quantum) era, opening up truly new scientific horizons at the frontier of quantum information, quantum control, machine learning and integrated photonics.
Wissenschaftliches Gebiet
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarequantum computers
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesphysical sciencesopticsnonlinear optics
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Finanzierungsplan
ERC-ADG - Advanced GrantGastgebende Einrichtung
00185 Roma
Italien