8 citations · 11 across the 20 of their papers we have counts for
21 papers
Magnetosensitivity of amphibian morphological pigmentation is light- and eye-dependent and consistent with the radical pair mechanism
Hadi Zadeh-Haghighi, Gabriel E. Bertolesi, Sarah McFarlane +1
Weak magnetic fields influence a wide range of biological processes, yet the underlying mechanisms are poorly understood. The radical pair mechanism (RPM), which involves quantum s…
Single-Spin Nitrogen-Vacancy Magnetometer with Enhanced Static Field Sensitivity
Vinaya K. Kavatamane, Dewen Duan, Hadi Zadeh-Haghighi +2
Precision sensing and imaging of weak static magnetic fields are crucial for a variety of emerging nanoscale applications. While nitrogen-vacancy (NV) centers in diamond provide ex…
The Role of Entanglement in Quantum Reservoir Computing with Coupled Kerr Nonlinear Oscillators
Ali Karimi, Hadi Zadeh-Haghighi, Youssef Kora +1
Quantum Reservoir Computing (QRC) uses quantum dynamics to efficiently process temporal data. In this work, we investigate a QRC framework based on two coupled Kerr nonlinear oscil…
Magnetic Field-dependent Isotope Effect Supports Radical Pair Mechanism in Tubulin Polymerization
Hadi Zadeh-Haghighi, Caleb R. Siguenza, Robert P. Smith +2
Weak magnetic fields and isotopes have been shown to influence biological processes; however, the underlying mechanisms remain poorly understood, particularly because the correspon…
Quantum Active Learning for Structural Determination of Doped Nanoparticles -- a Case Study of 4Al@Si
Maicon Pierre Lourenço, Mosayeb Naseri, Lizandra Barrios Herrera +4
Active learning (AL) has been widely applied in chemistry and materials science. In this work we propose a quantum active learning (QAL) method for automatic structural determinati…
Exploring Quantum Active Learning for Materials Design and Discovery
Maicon Pierre Lourenço, Hadi Zadeh-Haghighi, Jiří Hostaš +4
The meeting of artificial intelligence (AI) and quantum computing is already a reality; quantum machine learning (QML) promises the design of better regression models. In this work…