To add some general theoretical background...
Answering this is very complicated because the answer depends on how you define emotions, whether you see emotions as latent or emergent, whether you recognize high heterogeneity (behavior, cognition, physiology) within emotion categories, whether you view emotions as circumscribed in the brain or emerging from distributed neural networks, whether you view love as basic (like fear, disgust) or complex/higher order, and so on…
Emotion measurement is tricky business, and while our means of emotion measurement (e.g., facial coding [FACS], behavioral coding [SPAFF], psychophysiology [impedance cardiography, EKG, etc.]), have served us well in a lot of ways, they are also very limited.
From a constructivist perspective (a la Lisa Feldman Barrett or James Russell), self-report is the gold standard. On this view, emotions are just the labels that we use to organize and communicate our situated affective experiences. There is not a one-to-one mapping of behavior, cognition, and physiology to emotion categories like love. That is, love is a heterogeneous construct. It is highly variable in how it presents itself.
From a basic emotions perspective (a la Ekman, Izard, Panksepp, Keltner, etc.), we can use the methods suggested by Josh and Arnon without much concern. We can infer from patterns of behavior, cognition, facial expression, and physiology that the person is experiencing love. We should also be able to do this reliably.
So while we can certainly measure love "scientifically," how we do it depends on your theoretical orientation.