or
Looking to list your PhD opportunities? Log in here.
Quantum computing offers efficient implementation of an important class of algorithms for which their classical counterparts suffer from an exponential growth of computational costs with system size. In recent years, great strides have been made in building quantum computing platforms using arrays of ultracold neutral atoms where quantum states in individual atoms can be manipulated with high precision to realise quantum gates. These qubits are performed taking advantage of the so-called Rydberg atomic states, which have electrons in a high-lying principal quantum number state.
In this project, you will develop a scalable quantum computing platform using arrays of two different atomic species. The system will feature 36 qubits with a Hilbert space dimensionality of about 70 billion) with the possibility of scaling up to 256 qubits. With this prototype system, you will test, develop, and characterize several novel capabilities that promise to improve the accuracy, flexibility, and functionality of currently leading platforms. To this end, you will build a complex cutting-edge machine that involves ultrahigh vacuum, precision lasers, bespoke electronics, and state-of-the-art control systems. If you are a highly ambitious, motivated, and hands-on individual who loves to solve technical problems, this will be an ideal match for you.
The ideal candidate must have the following qualities.
• A strong first degree in Physics, completed or close to completion.
• Knack for experimental physics with hands-on expertise in optics and error analysis.
• A solid understanding of quantum mechanics and Atomic Physics.
• Strong interests in current quantum technologies.
• Good programming knowledge (python preferred)
• Diligence, conscientiousness, and strong work ethic.
• Strong interpersonal skills.
For more information about studying for a PhD at the University of Birmingham, the full range of the research undertaken in the School of Physics and Astronomy, the funding opportunities available and guidance on making your application, visit our website https://www.birmingham.ac.uk/schools/physics/phd/phd.aspx.
The School of Physics and Astronomy is an Institute of Physics Juno Champion since 2014 and holder of the Athena SWAN Silver Award. Both initiatives recognise the School’s commitment to promote diversity and equality, and to encourage better practice for all members of the community, whilst also working towards developing an equitable working culture in which all students and staff can achieve their full potential. We welcome applications from all qualified applicants, and encourage applications from traditionally under-represented groups in Physics and Astronomy including, but not limited to, women and Black, Asian and Minority Ethnicity.
The university will respond to you directly. You will have a FindAPhD account to view your sent enquiries and receive email alerts with new PhD opportunities and guidance to help you choose the right programme.
Log in to save time sending your enquiry and view previously sent enquiries
The information you submit to University of Birmingham will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
Research output data provided by the Research Excellence Framework (REF)
Click here to see the results for all UK universitiesBased on your current searches we recommend the following search filters.
Check out our other PhDs in Birmingham, United Kingdom
Start a New search with our database of over 4,000 PhDs
Based on your current search criteria we thought you might be interested in these.
Faculty of Science URSA PhD Project: Interfacing atomic vapours with quantum communications by quantum teleportation
University of Bath
Gravitational Wave Astronomy with Quantum Computing
Queen Mary University of London
Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
University of York