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Quantum physics meets biology [PDF]
Quantum physics and biology have long been regarded as unrelated disciplines, describing nature at the inanimate microlevel on the one hand and living species on the other hand. Over the last decades the life sciences have succeeded in providing ever more and refined explanations of macroscopic phenomena that were based on an improved understanding of ...
Arndt, M., Juffmann, T., Vedral, V.
openaire +8 more sources
Abstract Purpose This study evaluates a novel cone‐beam computed tomography (CBCT) imaging solution integrated onto a conventional C‐arm linear accelerator (linac) with increased gantry speed. The purpose is to assess the impact of improved imaging hardware and reconstruction algorithms on image quality.
Theodore Arsenault+9 more
wiley +1 more source
[This paper is part of the Focused Collection in Investigating and Improving Quantum Education through Research.] As one of the successful theories in physics, quantum physics, constructed out of physical ideas and expressed mathematically, provides the ...
Nilüfer Didiş Körhasan+1 more
doaj +1 more source
Abstract Purpose Reducing radiation dose attributed to computed tomography (CT) may compromise the accuracy of organ segmentation, an important step in 177Lu DOTATATE therapy that affects both activity and mass estimates. This study aimed to facilitate CT dose reduction using deep learning methods for patients undergoing serial single photon emission ...
Hung‐Te Yang+2 more
wiley +1 more source
From Cbits to Qbits: Teaching computer scientists quantum mechanics [PDF]
A strategy is suggested for teaching mathematically literate students, with no background in physics, just enough quantum mechanics for them to understand and develop algorithms in quantum computation and quantum information theory.
Mermin, N. David
core +2 more sources
Machine learning for quantum physics and quantum physics for machine learning
Research at the intersection of machine learning (ML) and quantum physics is a recent growing field due to the enormous expectations and the success of both fields. ML is arguably one of the most promising technologies that has and will continue to disrupt many aspects of our lives.
openaire +4 more sources
A method for measuring spatial resolution based on clinical chest CT sequence images
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu+3 more
wiley +1 more source
Teaching and understanding of quantum interpretations in modern physics courses
Just as expert physicists vary in their personal stances on interpretation in quantum mechanics, instructors vary on whether and how to teach interpretations of quantum phenomena in introductory modern physics courses.
Charles Baily, Noah D. Finkelstein
doaj +2 more sources
Splits in students’ beliefs about learning classical and quantum physics
Background While there has been increasing recognition of the importance of attending to students’ views about what counts as knowing and learning a STEM field, surveys that measure these “epistemological” beliefs are often used in ways that implicitly ...
Benjamin W. Dreyfus+4 more
doaj +1 more source
Determining spin-orbit coupling in graphene by quasiparticle interference imaging
Inducing and controlling spin-orbit coupling (SOC) in graphene is key to create topological states of matter, and for the realization of spintronic devices. Placing graphene onto a transition metal dichalcogenide is currently the most successful strategy
Lihuan Sun+9 more
doaj +1 more source