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This book provides readers with a comprehensive, state-of-the-art reference to the design automation aspects of quantum computers. Given roadmaps calling for quantum computers with 2000 qubits in a few years, readers will benefit from the practical implementation aspects covered in this book. The authors discuss real hardware to the extent possible.
Quantum computers are on the cusp of having navigated the wavy roads from theory to practice. I remember vividly that a decade ago, less than a handful of qubits on hardware was boasted as the state of the art and yet generated awe in me and others. Fast forward to today, there are quantum computers that have shattered the hundred qubit ceiling and the next big mark is a thousand qubits.
Beyond hundred qubits, manual process of the design flow starts to become a bottleneck. One of the voids that this book targets is to provide means for designing quantum computers with hundred qubits or more. In the first chapter, researchers from Johannes Kepler University Linz introduce decision diagrams as a method to cope with memory limitations for simulation and verification of quantum systems. Second chapter by UCLA targets the problem of optimally mapping logical qubits to physical ones on the hardware. Third chapter from UCSB is a timely treatment of quantum processor architecture design.
Decision Diagrams for Quantum Computing
Layout Synthesis for Near-Term Quantum Computing: Gap Analysis and Optimal Solution
Towards Efficient Superconducting Quantum Processor Architecture Design
Quantum True Random Number Generator
Placement Algorithm of Superconducting Energy-Efficient Magnetic FPGA
Margin Optimization of Single Flux Quantum Logic Cells
Hardware Security of SFQ Circuits