Western Digital Technologies, Inc. · San Jose, CA · posted 8 days ago
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We are seeking a talented researcher to join our team and drive innovative research projects in quantum computing, specifically to focus on quantum compute simulation. You will play a pivotal role in implementing large scale simulation models that will implement specific quantum error correction schemes, including distillation on top of a distributed network of superconducting qubits defined by their population lifetimes (T1, T2, T2*), single and double qubit gates error rates and other microscopic parameters. The goals will be to reach detailed understanding how distribution of microscopic parameters impact overheads needed to produce fault tolerant logical qubits from physical qubits. Additional goals would be related to detailed quantum mechanical modeling of superconducting qubits devices and developing theoretical and empirical models for microscopic parameters of superconducting qubits. In the course of the project, you will collaborate with both room temperature and low temperature DC and RF metrology scientists to accurately describe realistic population lifetime distributions, and with Quantum Error Correction information theorist to help choose various quantum error correction schemes. The key goal of these simulations will be to accurately determine requirements on the distribution profiles of microscopic parameters of the qubits and qubit gates to promote fabrication of FTQC systems with minimal number of physical qubits. ESSENTIAL DUTIES AND RESPONSIBILITIES - Lead and execute research projects in quantum computing superconducting qubit simulation of multi-qubits systems using in-house and commercial simulation tools
Required: - Ph.D degree in Physics, Electrical Engineering, Materials Science or related with coursework background in Condensed matter physics, Quantum Field theory and quantum error correction control theory
WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status
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