CC-Spin: A Micro-architecture design for scalable control of Spin-Qubit Quantum Processor

CC-Spin: A Micro-architecture design for scalable control of Spin-Qubit Quantum Processor

Yadav, Amitabh (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Quantum Computer Architectures; TU Delft QuTech)

Khammassi, Nader (mentor)
Bertels, Koen (mentor)
Sebastiano, Fabio (graduation committee)
Al-Ars, Zaid (graduation committee)

Delft University of Technology

Computer Engineering

2019-08-28

Quantum Computing is an emerging field of technology with the promise that engineered quantum systems can address hard problems such as, problems with exponential compute complexity in Chemistry, Genomics, Optimization and many more applications. Quantum Computer Architecture is an area of research targeted for the NISQ-era quantum computing and little research has been done for development of a scalable classical control and read-out infrastructure for the quantum processors. The project is aimed at study of SoC-FPGA design methodology and architecture design for control of quantum processor. The targeted quantum hardware is the Spin-Qubit in Semiconductor Quantum Dot Chip. The project is intended for understanding the design and working of a silicon-spin qubit for a computer (architecture) engineer. It further helps identify necessities for an architecture, Instruction Set requirements, bottlenecks and future challenges (specific to Spin-Qubit quantum processor) that would help in better designs for new control architectures.

The objective of this thesis is directed towards addressing the architectural challenges for the quantum-classical hardware for controlling the NISQ-era quantum devices and beyond. We analyze the control infrastructure requirements and propose a micro-architecture and waveform generation methodology to integrate the physical device with the quantum compilation tool-chain.

Quantum Computing
Quantum Control Microarchitecture
Computer Architecture

http://resolver.tudelft.nl/uuid:5afeea39-eabf-4561-832f-35f93e6bcc3e

Student theses

master thesis

© 2019 Amitabh Yadav