25 citations · 80 across the 10 of their papers we have counts for
11 papers
Development and experimental implementation of noise characterisation techniques on a superconducting quantum processor
Nelson M. M. Fernández, Francesco Grieco, Hetta Vappula +6
Noise characterisation not only enables error mitigation but also provides valuable information about the intrinsic performance of a quantum device, identifying dominant error cont…
Myths around quantum computation before full fault tolerance: What no-go theorems rule out and what they don't
Zoltán Zimborás, Bálint Koczor, Zoë Holmes +19
In this perspective article, we revisit and critically evaluate prevailing viewpoints on the capabilities and limitations of near-term quantum computing and its potential transitio…
Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation
Keijo Korhonen, Hetta Vappula, Adam Glos +6
Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. Quantum computers suffer from high readout errors, maki…
ADAPT-VQE: Toward Accurate Calculation of Excitation Energies on Quantum Computers for BODIPY Molecules With Application in Photodynamic Therapy
Anton Nykänen, Leander Thiessen, Elsi-Mari Borrelli +3
Quantum chemistry simulations offer a cost-effective way for computational design of BODIPY photosensitizers with potential use in photodynamic therapy (PDT). However, accurate pre…
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…
Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
Anton Nykänen, Matteo A. C. Rossi, Elsi-Mari Borrelli +2
ADAPT-VQE stands out as a robust algorithm for constructing compact ansätze for molecular simulation. It enables to significantly reduce the circuit depth with respect to other met…
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
Adam Glos, Anton Nykänen, Elsi-Mari Borrelli +4
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier "learning to measu…
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…
Pairwise tomography networks for many-body quantum systems
Guillermo García-Pérez, Matteo A. C. Rossi, Boris Sokolov +2
We introduce the concept of pairwise tomography networks to characterise quantum properties in many-body systems and demonstrate an efficient protocol to measure them experimentall…