Mohammed Alghadeer
@MoALGq
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Quantum Hardware @GoogleQuantumAI | PhD @UniofOxford | Rhodes Scholar @Rhodes_Trust | Research @BerkeleyLab @UCBerkeley @KAUST_News
Santa Barbara, CA
Joined August 2012
Very special day at @GoogleQuantumAI !
Our unforgettable yesterday at @GoogleQuantumAI in four frames. Preparing for Michel’s arrival, being the first to congratulate ( and walk him to his desk ! ), celebrating together, and ending with a special moment with students we’re hosting @iamshashwatk @MoALGq @karamlouMIT
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💙✨
"Being a Rhodes Scholar is an experience that has transformed my life, not only through the knowledge and skills I have gained, but also through the connections I have made with Scholars from diverse backgrounds."@MoALGq is reading for a DPhil in Condensed Matter Physics 🌟
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Materials discovery and synthesis are hard and lie at the intersection between fundamental physics and computational modeling. Here in our work we show prediction of crystal structures for variety of materials classes using a highly accurate ML approach https://t.co/iE7viMHqAf
pubs.acs.org
Predicting crystal structure from the chemical composition is one of the most challenging and long-standing problems in condensed matter physics. This problem resides at the interface between...
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تغطية اللقاء التعريفي لمنحة رودس للدراسات العليا لجامعة أوكسفورد، حيث تم تعريف طلاب وطالبات الجامعة عن كل ما يخص المنحة وسبل التقديم عليها، كما تم الرد على استفسارات الطلاب والطالبات المتعلقة بالمنحة.
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Dielectric loss at interfaces of quantum circuits limit the coherence of qubits and related quantum devices. Here we show that SAM materials can passivate superconducting circuits and prevent further growth of oxide layers that are sources of TLS loss. https://t.co/LIQc90S7RT
pubs.acs.org
Superconducting coplanar waveguide (CPW) microwave resonators in quantum circuits are the best components for reading and changing the state of artificial atoms because of their excellent coupling to...
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Verify even the most trustworthy sources and question your way of doing so.
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Love her as certain absolute things to be loved, in secret, between the heart and the soul.
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Materials informatics with ML is at the intersection between basic physics and potential computational tools for understanding nature. Here is our recent work that investigates resampling and classification techniques for large and imbalanced data using ML https://t.co/5Jl54I9Qwi
pubs.acs.org
Imbalanced data sets in materials informatics are pervasive and pose a challenge to the development of classification models. This work investigates crystal point group prediction as an example of an...
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Here is our recent paper about improving interfaces of superconducting quantum circuits through surface modification, resulting in record quality factors. https://t.co/rweHb3ZhSc
journals.aps.org
Using selective post-fabrication etching, different ratios of TLS and other resonator losses are associated with the silicon and niobium surface oxides, while the resonator coherent lifetime is...
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Here is our recent paper about predicting crystal point groups using machine learning. This is our first step toward predicting crystal structure of new materials with a very small set of features. https://t.co/igwSOjnfEJ
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Very happy and proud to be selected as a Rhodes Scholar for this year.
Many congratulations to Mohammed Alghadeer for winning the #RhodesScholarship! We are looking forward to welcoming you to the @UniofOxford next year!🌟
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For the 2nd year in a row, 3 #Saudi undergraduates have been awarded the prestigious Rhodes scholarship. They represent the Nation's best and brightest, and the 2 STEM winners are alumni of #KAUST's world-class internship programs! Congrats! @Rhodes_trust
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“You’re the average of the five people you spend the most time with”. Be selective.
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