PostDoc - Solving the EoM for the 1RDM on quantum computing devices (Closed)

The aim of this research project is to find an accurate and computationally affordable method based on the one-particle reduced density matrix (1RDM) for the description of electronic correlation, even for challenging systems with significant multiconfigurational character. Instead of solving the Schrödinger equation directly, we will focus on solving the equation of motion (EoM) for the 1RDM. In classical electronic structure algorithms, the reconstruction of the 2RDM in terms of the 1RDM introduces an approximation, which limits the exact applications of the EoM. Quantum computers have the potential to exponentially speed up classical molecular calculations. However, existing algorithms have limitations; quantum phase estimation algorithms are intractable in current hardware, while variational quantum eigensolvers are based on approximate wavefunctions with no guaranteed convergence. Solving the EoM for the 1RDM should converge in the absence of noise to a solution that corresponds to an exact many-particle solution of the Schrödinger equation, therefore, we hope to generate a quantum algorithm, that is, a type of 1RDM-based quantum eigensolver, that will provide a significant step towards realizing accurate but scalable molecular simulations on quantum devices.

• Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
• Target start date: 2024/01/01

We provide a highly stimulating research environment, and unique professional career development opportunities.

We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

Interested candidates should submit an updated CV and a brief statement of interest to the following application email below. 

Reference letters are welcome but not indispensable.

The reference of the specific opening to which the candidate is applying should be stated in the subject line, and the application must be received before the application deadline.

Although candidates are welcome to contact the project supervisors to know further details about the proposed research activity, please be aware that the application will be evaluated only if it is submitted directly to the email address listed below as application email.

• Reference: 2023/74
• Application deadline: 2023/07/21
• Application email: jobs.research@dipc.org

Applications received by the deadline will be evaluated by a Committee designed by the DIPC board on the basis of the following criteria:

• CV of the candidate (40%)
• Adequacy of the candidate’s scientific background to the project (40%)
• Reference letters (10%)
• Other: Diversity in gender, race, nationality, etc. (10%)

Evaluation results will be communicated to the candidates soon after. Positions will only be filled if qualified candidates are found.

The DIPC may revoke its decision if the candidate fails to join by the appointed time, in which case the position will be awarded to the candidate with the next highest score, provided it is above 50 (out of 100).

However, the selected candidate may keep the position if, in the opinion of the Selection Committee, the candidate duly justifies the reasons why he or she cannot join before the specified deadline, and as long as the project allows it.

This project has received funding from the MCIN program “Severo Ochoa”, under reference AEI/ CEX2018-000867-S.