In this pivotal postdoctoral position, you will explore and realize the potential of Quantum Computing to improve Machine Learning models to accelerate atomistic simulation and model molecular and material properties. You will focus on Quantum Optimization and in making the complexity of Quantum Circuits tractable, but you will be free and encouraged to propose and pursue novel directions. You will collaborate closely with the Quantum initiative of the Molecular and Material Design (MMD) technology hub, as well as with the Quantum Computing division of SURF and with the Dutch Institute for Emergent Phenomena (DIEP). You will be embedded in the Computational Soft Matter (CSM) Lab, a joint initiative of the Institutes of Informatics (IvI), Physics (IoP) and Molecular Sciences (HIMS).
Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet?
The Biosystems Data Analysis (BDA) group at the University of Amsterdam is looking for a postdoctoral researcher to develop and rigorously benchmark quantum-computing approaches for high-impact problems in bioinformatics.
This project is part of the Faculty of Science’s new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at the cutting edge of quantum application; four Q-MMD seed projects across the Faculty of Science, together with a Lead Scientist Quantum Applications currently being recruited. This team will explore where quantum and hybrid quantum-classical methods can make a real scientific difference, build reusable expertise and create the basis for future academic and public-private collaborations. At BDA, you will be embedded in a group whose experience is in advanced methods for biological and biomedical data.
We welcome applications from candidates with expertise in quantum computing who are motivated to cross disciplinary boundaries towards bioinformatics and computational biology. You do not need to arrive as an expert in both fields.
If you have any questions or do you require additional information? Please contact:
Quantum computing devices are rapidly increasing in scale and complexity. However they are still very far away from the abstract ideal of a computer, and an important part of making them better is designing procedures that characterize errors and noise in an efficient and robust. Do you enjoy working at the intersection between physics and computer science? Are you comfortable with mathematical work and interested in applying those skills in a practical setting? Then CWI invites you to apply for a PhD position where you will research testing and learning algorithms for fault-tolerant quantum computers in the context of the EQUATE ERC starting grant project, supervised by Dr. Jonas Helsen.
As part of your PhD project, you will develop and mathematically analyze new methods for extracting information from quantum computers, with a focus on testing and learning algorithms and their interactions with quantum error correction.
Possible research directions include (but are not limited to):
-Testing and learning under resource restrictions (specifically the “low-magic” setting)
-Testing and learning of QEC relevant properties such as membership of the Clifford hierarchy
-The interaction of (logical) noise with learning algorithms
– Research fault-tolerant quantum computing, developing new testing and learning algorithms and analyzing their properties.
– Work with colleagues on translating these theoretical algorithms to a more practical setting, perhaps even all the way down to real experiments.
– Publish and present your work in international conferences and journals.
– Be an active part of the local research groups at CWI and QuSoft.
If you have any questions or require additional information, please contact:
Dr. Jonas Helsen, email: jonas@cwi.nl.
Theoretical models of quantum computers typically consist of qubits. Physics, however, naturally provides us with other natural modalities of quantum computing. First among these is bosonic quantum computing, which has seen substantial experimental progress, but comparatively little work on the theoretical computer science side. The goal of this postdoc position is to perform research on property testing, learning theory and characterisation of bosonic quantum systems, as well as the classical simulation of bosonic quantum computation.
This position is established as part of the Quantera consortium Batir-le-chat, which brings together researchers from the Netherlands, Germany and France to work on the theoretical aspects of bosonic quantum computing.
We are looking for an excellent scientist with expertise in quantum computing and quantum information processing in general, with a strong interest in bosonic quantum computing and/or characterisation or testing/learning theory. Needed qualifications for candidates include proven research talent and good academic writing and presentation skills. Candidates are expected to have an excellent command of English.
If you have any questions or require additional information, please contact:
Dr. Jonas Helsen, email: jonas@cwi.nl
or
Dr. Freek Witteveen, email: f.witteveen@cwi.nl