2.6k citations · 8k across the 95 of their papers we have counts for
97 papers
Semidefinite Programming in Quantum Information Science
Paul Skrzypczyk, Daniel Cavalcanti
Semidefinite programs (SDPs) are a class of optimisation problems that find application in numerous areas of physics, engineering and mathematics. Semidefinite programming is parti…
Matrix product channel: Variationally optimized quantum tensor network to mitigate noise and reduce errors for the variational quantum eigensolver
Sergey Filippov, Boris Sokolov, Matteo A. C. Rossi +5
Quantum processing units boost entanglement at the level of hardware and enable physical simulations of highly correlated electron states in molecules and intermolecular chemical b…
Self-consistent quantum measurement tomography based on semidefinite programming
Marco Cattaneo, Matteo A. C. Rossi, Keijo Korhonen +4
We propose an estimation method for quantum measurement tomography (QMT) based on semidefinite programming (SDP), and discuss how it may be employed to detect experimental imperfec…
Virtual linear map algorithm for classical boost in near-term quantum computing
Guillermo García-Pérez, Elsi-Mari Borrelli, Matea Leahy +5
The rapid progress in quantum computing witnessed in recent years has sparked widespread interest in developing scalable quantum information theoretic methods to work with large qu…
Quantum network medicine: rethinking medicine with network science and quantum algorithms
Sabrina Maniscalco, Elsi-Mari Borrelli, Daniel Cavalcanti +14
Scientific and technological advances in medicine and systems biology have unequivocally shown that health and disease must be viewed in the context of the interplay among multiple…
Local quantum overlapping tomography
Bruna G. M. Araújo, Márcio M. Taddei, Daniel Cavalcanti +1
Reconstructing the full quantum state of a many-body system requires the estimation of a number of parameters that grows exponentially with system size. Nevertheless, there are sit…