The Center for Nanoscale Materials (CNM) and the Advanced Photon Source (APS) at Argonne National Laboratory invite applications for a joint Assistant Scientist position focused on developing and applying artificial intelligence (AI) and machine learning (ML)
This project investigates the design and analysis of peaked quantum circuits. The research involves implementing and simulating quantum circuits, studying peak-finding algorithms, and comparing different circuit constructions, including OTOC- and Clifford+T-based approaches. The student will perform numerical simulations,
The student will work on method and algorithm development for quantum computing for quantum chemistry in Chemical Sciences and Engineering division at Argonne. Education and Experience Requirements • The entirety of the appointment must be conducted within the United
Company Overview Photon Queue builds the worlds leading quantum memory devices – systems that store and release single photons. Using a unique free-space storage architecture that achieves kilometer-scale optical path lengths in a compact form factor, we