Our thoughts on the current literature, including literature responses and structures for approaching the vast array of existing papers.

There is a huge amount of literature on magnetic resonance and quantum information science, but the esoteric language of each field can make it difficult to bridge ideas across them. In this blog, we use posts to present important papers in the attempt to translate their ideas into an approachable language for either perspective. We also put forward some structural frameworks to help the curious reader sort through the vast library of current literature based on their own background and interests.

A theoretical toolkit for understanding spin physics and quantum information science, starting with the fundamentals of quantum mechanics and building into more complex topics.

The theory of quantum mechanics is rich in its mathematical beauty and power for describing the microscopic physical world. In these posts, we present quantum mechanics from the perspective of spins physics, utilizing the language of magnetic resonance to introduce and understand the key ideas underlying quantum information science. Beginning from the postulates of quantum mechanics, this section aims to equip the reader with the theoretical background required to understand complex concepts in magnetic resonance, quantum sensing, and quantum computing.

Computation techniques for magnetic resonance, ranging from the basics of 1D spectra to many-spin systems and machine learning methods.

The simulation of spin systems has a rich history in magnetic resonance, and is a powerful tool for predicting behavior, interpreting data, and discovering new experimental techniques. In this blog, posts will present functions for simulating basic magnetic resonance experiments in multiple coding languages, techniques for developing more complex algorithms, and introduce a framework for utilizing machine learning to approach problems in spin physics.

A selection of experimental systems where magnetic resonance and quantum information science intersect presented in a digestible form for any background.

There is a wide array of physical systems whose behavior lies at the intersection of magnetic resonance and quantum information science. In this section, we will present a handful of such systems based on some of our current interests, while recognizing that this is just the tip of the iceberg of existing and potential physical systems with exciting and exploitable spin physics. Some systems will be presented in detail, building from the fundamentals for the new learner into more complex behaviors and applications, while others will be presented broadly, directing the interested reader towards more details.

Using visual tools to deepen our insight into and intuition of complex ideas in spin physics and quantum information.

Quantum mechanics, including the physics of magnetic resonance, is often presented through a mathematical framework, as this offers a natural language for the description of quantum systems. However, this mathematical approach may not be ideal for everyone, and for many concepts appropriate visual aids can help develop intuition and understanding. In this section, we will present methods and tools for the visualization of spin systems and quantum information science, using these as a complement to the rigorous mathematical approach to allow for new perspectives on complex ideas.