WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. Backed by Sequoia.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- Experience in using open source and commercial software platforms such as Pennylane and TopQAD, scqubits and SQuADDS
- Thorough understand of superconducting qubit design theory and building in-house simulation tools and utilizing existing open source
- Experience in simulation of low temperature DC and RF measurement of qubit devices
- Proficiency in a wide array of programming languages, like Python, Rust, TCL, or C, and the ability to choose the right one for the task, including knowledge (or willingness to acquire knowledge) of FPGA based microcontrollers
More about this role
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...
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