Hole spins in Ge/Si core/shell nanowires experience a spin-orbit interaction that has been predicted to be both strong and electrically tunable, making them a particularly promising platform for research in these fields. Strikingly, together with these orbital effects, the strong spin-orbit interaction causes a significant enhancement of the g-factor with magnetic field.The large spin-orbit interaction strength demonstrated is consistent with the predicted direct Rashba spin-orbit interaction in this material system and is expected to enable ultrafast Rabi oscillations of spin qubits and efficient qubit-qubit interactions, as well as provide a platform suitable for studying Majorana zero modes.Ībstract = "The spin-orbit interaction lies at the heart of quantum computation with spin qubits, research on topologically non-trivial states, and various applications in spintronics. We additionally observe a large orbital effect of the applied magnetic field on the hole states, resulting in a large magnetic field dependence of the spin-mixing transition energies. We find a remarkably short spin-orbit length of ∼65 nm, comparable to the quantum dot length and the interdot distance. We experimentally determine the strength of spin-orbit interaction of hole spins confined to a double quantum dot in a Ge/Si nanowire by measuring spin-mixing transitions inside a regime of spin-blockaded transport. In the coming months, we will provide new infographics that show users how they can become safer by using browsers that fit in with large pools of other browsers.The spin-orbit interaction lies at the heart of quantum computation with spin qubits, research on topologically non-trivial states, and various applications in spintronics. Add-ons and browsers that randomize the results of fingerprinting metrics have the potential to confuse trackers and mitigate the effects of fingerprinting as a method of tracking. We have also worked with browser vendors such as Brave to provide more accurate results for browsers that are employing novel anti-fingerprinting techniques. Because tracking and fingerprinting are so complex, we wanted to provide users a way to deep-dive into exactly what kind of tracking might be happening, and how it is performed.
Ī screenshot from Cover Your Tracks’ learning page, įor beginners, we’ve created a new learning page detailing the methodology we use to mimic trackers and test browsers, as well as next steps users can take to learn more and protect themselves. Users can also “cover their tracks,” protecting themselves by installing extensions like our own Privacy Badger. In this way, there is strength in numbers. Some browsers are able to protect their users by making all instances of their browser look the same, regardless of the computer it’s running on.
And, on the web and in the wild, one of the best ways to confuse trackers and make it hard for them to identify you individually. These traces can be combined into a unique identifier which follows users’ browsing of the web, like wildlife which has been tagged by an animal tracker. Our browsers leave traces of identifiable information just like an animal might leave tracks in the wild. With helpful explainers accompanying each browser characteristic and how it contributes to their fingerprint, users get an in-depth look into just how trackers can use their browser against them. In this new iteration, Cover Your Tracks aims to make browser fingerprinting and tracking more understandable to the average user.
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