Unitary Decomposition: Implemented in the OpenQL programming language for quantum computation

Unitary Decomposition is an algorithm for translating a unitary matrix into many small unitary matrices, which correspond to a circuit that can be executed on a quantum computer. It is implemented in the quantum programming framework of the QCA-group at TU Delft: OpenQL, a library for Python and C++. Unitary Decomposition is a necessary part in...

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

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...

QuTech Central Controller: A Quantum Control Architecture for a Surface-17 Logical Qubit

The goal of this thesis is the design and development of the QuTech Central Controller, a system conceived to serve as the hardware/software interface of a quantum computer. This system represents an evolution of the QuMA microarchitecture to control a Surface-17 superconducting quantum processor, even though several architectural mechanisms are...

A Hardware/Software Co-designed Partitioning Algorithm of Sparse Matrix Vector Multiplication into Multiple Independent Streams for Parallel Processing

The trend of computing faster and more efficiently has been a driver for the computing industry since its beginning. However, it is increasingly difficult to continue this trend because current CMOS technology cannot be down-scaled anymore due to physical restrictions. Consequently, to obtain the next major performance improvement, the focus is...

Quantum Algorithms: for pattern-matching in genomic sequences

Fast sequencing and analysis of (microorganism, plant or human) genomes will open up new vistas in fields like personalised medication, food yield and epigenetic research. Current state-of-the-art DNA pattern matching techniques use heuristic algorithms on computing clusters of CPUs, GPUs and FPGAs. With genomic data set to eclipse social and...