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QUantum advantage via non-linear BOSon Sampling

Objective

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.

Call for proposal

ERC-2019-ADG
See other projects for this call

Funding Scheme

ERC-ADG - Advanced Grant

Host institution

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Address
Piazzale Aldo Moro 5
00185 Roma
Italy
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 2 305 000

Beneficiaries (3)

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Italy
EU contribution
€ 2 305 000
Address
Piazzale Aldo Moro 5
00185 Roma
Activity type
Higher or Secondary Education Establishments
CONSIGLIO NAZIONALE DELLE RICERCHE
Italy
EU contribution
€ 380 000
Address
Piazzale Aldo Moro 7
00185 Roma
Activity type
Research Organisations
LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA
Portugal
EU contribution
€ 190 000
Address
Avenida Mestre Jose Veiga
4715-330 Braga
Activity type
Research Organisations