output
20032026
most citedAdvanced scanning probe lithography

662 citations

Showing quant-phShow all

28 papers · 1 filter

quant-ph20251 cited

Learning Reduced Representations for Quantum Classifiers

Patrick Odagiu, Vasilis Belis, Lennart Schulze +6

Data sets that are specified by a large number of features are currently outside the area of applicability for quantum machine learning algorithms. An immediate solution to this im…

quant-ph2025

Neutrino thermalization via randomization on a quantum processor

Oriel Kiss, Ivano Tavernelli, Francesco Tacchino +2

The dynamical evolution of neutrino flavor in supernovae can be modeled by an all-to-all spin Hamiltonian with random couplings. Simulating such two-local Hamiltonian dynamics rema…

quant-ph2025

Spectral Gaps with Quantum Counting Queries and Oblivious State Preparation

Almudena Carrera Vazquez, Aleksandros Sobczyk

Approximating the -th spectral gap and the corresponding midpoint of an Hermitian matrix with eigenvalues $λ_1\geqλ_2…

quant-ph2025

Quantum Algorithm for Protein Side-Chain Optimisation: Comparing Quantum to Classical Methods

Anastasia Agathangelou, Dilhan Manawadu, Ivano Tavernelli

Modelling and predicting protein configurations is crucial for advancing drug discovery, enabling the design of treatments for life-threatening diseases. A critical aspect of this…

quant-ph2025

Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes

Sabri Meyer, Francesco Scala, Francesco Tacchino +1

Variational Quantum Algorithms are promising candidates for near-term quantum computing, yet they face scalability challenges due to barren plateaus, where gradients vanish exponen…

quant-ph2025

Mitigating errors in state preparation and measurement with noncomputational states

Conrad J. Haupt, Almudena Carrera Vazquez, Laurin E. Fischer +2

Error mitigation has enabled quantum computing applications with over one hundred qubits and deep circuits. Many error mitigation methods are noise-aware, relying on a faithful cha…