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Scalable tensor-network error mitigation for near-term quantum computing
Until fault-tolerance becomes implementable at scale, quantum computing will heavily rely on noise mitigation techniques. While methods …
Sergei Filippov, Matea Leahy, Matteo A. C. Rossi, Guillermo García-Pérez
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Scalable tensor-network error mitigation for near-term quantum computing
Charging a quantum battery in a non-Markovian environment: a collisional model approach
We study the effect of non-Markovianity in the charging process of an open-system quantum battery. We employ a collisional model …
Daniele Morrone, Matteo A. C. Rossi, Andrea Smirne, Marco G. Genoni
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Charging a quantum battery in a non-Markovian environment: a collisional model approach
Matrix product channel: Variationally optimized quantum tensor network to mitigate noise and reduce errors for the variational quantum eigensolver
Quantum processing units boost entanglement at the level of hardware and enable physical simulations of highly correlated electron …
Sergey Filippov, Boris Sokolov, Matteo A. C. Rossi, Joonas Malmi, Elsi-Mari Borrelli, Daniel Cavalcanti, Sabrina Maniscalco, Guillermo García-Pérez
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Matrix product channel: Variationally optimized quantum tensor network to mitigate noise and reduce errors for the variational quantum eigensolver
Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
ADAPT-VQE stands out as a robust algorithm for constructing compact ansätze for molecular simulation. It enables to significantly …
Anton Nykänen, Matteo A. C. Rossi, Elsi-Mari Borrelli, Sabrina Maniscalco, Guillermo García-Pérez
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Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
Semidefinite programming for self-consistent quantum measurement tomography
We propose an estimation method for quantum measurement tomography (QMT) based on a semidefinite program (SDP), and discuss how it may …
Marco Cattaneo, Elsi-Mari Borrelli, Guillermo García-Pérez, Matteo A. C. Rossi, Zoltán Zimborás, Daniel Cavalcanti
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Semidefinite programming for self-consistent quantum measurement tomography
Link prediction with continuous-time classical and quantum walks
Protein-protein interaction (PPI) networks consist of the physical and/or functional interactions between the proteins of an organism. …
Mark Goldsmith, Guillermo García-Pérez, Joonas Malmi, Matteo A. C. Rossi, Harto Saarinen, Sabrina Maniscalco
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Link prediction with continuous-time classical and quantum walks
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In …
Adam Glos, Anton Nykänen, Elsi-Mari Borrelli, Sabrina Maniscalco, Matteo A. C. Rossi, Zoltán Zimborás, Guillermo García-Pérez
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Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
Virtual linear map algorithm for classical boost in near-term quantum computing
The rapid progress in quantum computing witnessed in recent years has sparked widespread interest in developing scalable quantum …
Guillermo García-Pérez, Elsi-Mari Borrelli, Matea Leahy, Joonas Malmi, Sabrina Maniscalco, Matteo A. C. Rossi, Boris Sokolov, Daniel Cavalcanti
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Quantum network medicine: rethinking medicine with network science and quantum algorithms
Scientific and technological advances in medicine and systems biology have unequivocally shown that health and disease must be viewed …
Sabrina Maniscalco, Elsi-Mari Borrelli, Daniel Cavalcanti, Caterina Foti, Adam Glos, Mark Goldsmith, Stefan Knecht, Keijo Korhonen, Joonas Malmi, Anton Nykänen, Matteo A. C. Rossi, Harto Saarinen, Boris Sokolov, N. Walter Talarico, Jussi Westergren, Zoltán Zimborás, Guillermo García-Pérez
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