Presentation
Scaling the Quantum EDA Toolchain with Machine Learning
DescriptionQuantum hardware is rapidly evolving and scaling towards being able to provide "quantum utility". Current compilation tools target Noisy Intermediate Scale Quantum (NISQ) devices and can provide limited functionality to compile circuits for Early Fault Tolerant Quantum (EFTQC) computers. For NISQ and EFTQ computers, the main goal of compilers is generating resource efficient circuits, while operating at the circuit level of abstraction. To attain Fault Tolerant quantum computing current approaches need to be extended to target error correction primitives, as well as being refactored for scalability. The talk will describe how multi-qubit unitary synthesis can be used a primitive operation to build scalable quantum EDA toolchains. Three use cases are presented: 1) multi-qubit unitary synthesis of Clifford+T circuits; 2) learning structure of quantum programs; and 3) discovering scalable optimal program generators. The talk will conclude with a discussion of the evolution of the quantum EDA toolchain and its similarity with EDA for classical computing.
Event Type
Research Special Session
TimeMonday, June 232:30pm - 3:00pm PDT
Location3010, Level 3
Design