QuantaGenomics is a QuantERA ERA-NET Cofund in Quantum Technologies project with focus on the development of a quantum-enabled secure multiparty computation service for collaborative genomic medicine. The consortium of this project is composed by:

In this project, we are going to replace the classical oblivious transfer(OT) implementation by a quantum-enabled OT in a secure multiparty computation (SMC) protocol, leading to a solution that is both fast and secure, even against quantum computer attacks. This quantum OT version has a very convenient and practical structure because it can be divided into two phases: offline and online. The offline phase uses quantum communication to generate the resources, i.e. oblivious keys. Afterwards, these keys are used during the online phase to complete the protocol. The advantage of this separation of phases is that only the online phase is required to be executed during the SMC session. So, there is no need to run any quantum protocol during the online SMC phase because it can be done during the offline (precomputation) phase, which increases the speed and availability of the system without compromising its security. On top of the quantum-enabled SMC protocol, we are going to develop a privacy-preserving data mining service involving a particular genomic medicine use case. Medical databases are extensive repositories containing confidential information.

Objectives

Newsletter

Quanta Genomics project released its third newsletter
The newsletter can be downloaded here.
November 1, 2023
Quanta Genomics project released its second newsletter
The newsletter can be downloaded here.
May 1, 2023
Quanta Genomics project released its first newsletter
The newsletter can be downloaded here.
October 1, 2022
QuantaGenomics project selected for funding by QuantERA
The QuantERA Consortium is pleased to announce that the QuantaGenomics project was considered for funding in 2021 call for Applied Quantum Science (AQS).
May 1, 2022

Project’s acknowledgment to include in publications:

"We acknowledge the support of the QuantaGenomics project funded within the QuantERA II Programme that has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 101017733, and with funding organisations, The Foundation for Science and Technology – FCT (QuantERA/0001/2021), Agence Nationale de la Recherche - ANR, and State Research Agency – AEI."