The Quantum Information and Integrated Nanosystems Group at MIT Lincoln Laboratory develops quantum systems, including theory, engineering, and control, to address critical future technology needs. Areas of focus include superconducting qubits, trapped ions, integrated photonics, and solid-state quantum sensing. The group’s innovative research is supported by on-site state-of-the-art fabrication tools, close partnership with universities and industry, extensive test and measurement infrastructure, and daily collaboration with the 1700+ Ph.D-level scientists within Lincoln Laboratory

 

Job Description

Our group at MIT Lincoln Laboratory seeks a full-time technical staff member to perform research on advanced modeling and simulation techniques targeted to near-term quantum computing architectures. This position involves working within a team that is building a hierarchical modeling infrastructure that aims to understand the impact of realistic noise sources on the performance of surface code logical qubits.

 

Experience in one or more of the following areas is required for this position:

Quantum channels and representation, manipulation, and distance measures for channels that describe quantum dynamical processes in unitary and open quantum systems. Models of noise and error in quantum devices at the device and operator level Simulation methods to include simulation of open quantum systems, non-Markovian noise, and Monte Carlo trajectory methods Methods to optimize simulation codes to include: use of reduced complexity Pauli/Clifford error channels, and advanced computational techniques to parallelize and speedup computational codes. Quantum Characterization Verification & Validation (QCVV) Requirements

PhD (or a MS and 5+ years experience or BS and 10+ years experience) in Physics, Computer Science, Electrical Engineering or related field.  Must have a strong background in theoretical quantum information science, as well as experience in computational modeling and simulation. The ability to develop software in programming languages such as: C++, Python, Matlab, and/or Mathematica is required. Knowledge of simulation tools such as: STIM, QuTip, etc. is desired. Experience with high-performance and accelerated (GPUs) computing is desired.

 

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

Comprehensive health, dental, and vision plans MIT-funded pension Matching 401K Paid leave (including vacation, sick, parental, military, etc.) Tuition reimbursement and continuing education programs Mentorship programs A range of work-life balance options ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 41603