quantum computation

Application deadline: 

Thursday, January 18, 2024

2 years Post-doctoral position in:

Quantum Computing Applications in Chemistry and Materials Science

The postdoctoral researcher, appointed for 2 years, will be responsible for developing new algorithms for the design and optimization of variational wavefunctions that can be implemented on NISQ (Noisy Intermediate-Scale Quantum) computers, using methods such as the Variational Quantum Eigensolver. The candidate should hold a PhD in Physics, Chemistry, Computer Science or related topics.

Application deadline: 

Sunday, January 14, 2024

The quantum algorithms group at the Institute for Quantum Computing Analytics (PGI-12) at Research Center Jülich is offering a PostDoc position in the field of application focused quantum algorithms. This entails the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers, investigating potential quantum advantage of such algorithms in real-world scenarios as well as developing optimal compilation methods and tailored quantum algorithms for noisy quantum computers.

Apply here: https://www.fz-juelich.de/en/careers/jobs/2023-445

Application deadline: 

Saturday, September 30, 2023

Are you looking for an opportunity to shape the future of quantum computing?

Description
The Kestner Group in the Department of Physics at UMBC invites applications for a Postdoctoral Research Associate to carry out theoretical investigations of silicon spin qubits under the mentorship of Dr. Jason Kestner. The postdoctoral researcher will join a team of theoretical and experimental collaborators at UMBC, UCLA, the University of Rochester, Virginia Tech, and Johns Hopkins University Applied Physics Labs, funded by the LPS/ARO grant “Measuring, Modeling, and Mitigating Noise in Spin Qubits.”

Application deadline: 

Friday, November 25, 2022

We are looking for a Quantum Algorithm Developer who will join our team of Quantum Physicists creating next generation quantum computers. The role involves mainly the development of algorithms and quantum hardware proposals using the ParityQC architecture. We are developing ParityOS, a toolchain of software that translates optimization problems from its raw mathematical formulation to a complete quantum program, that can be specifically customized for the underlying hardware platform.

Application deadline: 

Saturday, October 15, 2022

Are you looking for an opportunity to shape the future of quantum computing? With superconducting quantum computers on the verge, we want to strengthen our research at the Walther-Meißner-Institute (WMI – wmi.badw.de)  of the Bavarian Academy of Sciences and Humanities and the Technical University of Munich (http://www.tum.de) and offer a team lead position within the Munich Quantum Valley (http://www.munich-quantum-valley.de) and the German quantum computing project MUNIQC-SC  (t1p.de/8c6h).

Application deadline: 

Saturday, October 15, 2022

Are you looking for an opportunity to shape the future of quantum computing? With superconducting quantum computers on the verge, we want to strengthen our research at the Walther-Meißner-Institute (WMI – wmi.badw.de)  of the Bavarian Academy of Sciences and Humanities and the Technical University of Munich (http://www.tum.de) and offer several postdoctoral positions within the Munich Quantum Valley (http://www.munich-quantum-valley.de) and the German quantum computing project MUNIQC-SC  (t1p.de/8c6h).

Application deadline: 

Tuesday, May 31, 2022

Quantum- and physics-inspired optimization has attracted lots of attention in recent years, as fundamentally novel paradigms towards solving large-scale combinatorial problems. The underlying principle is to encode a given problem into the natural dynamics of physical systems, and to achieve potentially stronger convergence and higher precision through careful external control. Physics-inspired optimization algorithms, such as coherent Ising machines and simulated bifurcation, mimic the dynamical properties of physical systems on conventional hardware – with the goal to inherit certain features, such as natural convergence towards low-energetic states. At Huawei, we investigate a wide range of topics related to quantum- and physics-inspired optimization, from the most fundamental mathematical structures, deep understanding of physical models, to high-performance implementation of novel optimization architectures.

Application deadline: 

Tuesday, May 31, 2016

(This is a re-posting as the deadline is near ....)
This position is associated with a project entitled "Quantum Machine Learning", and includes the following possible research topics:

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