[Crib-list] Fwd: [csail-related] Talk Announcement: Extensible, Efficient Quantum Algorithm Design for Humans, Thursday, May 30, 4pm

[Shirley Entzminger]

 			TALK ANNOUNCEMENT...


TITLE: 	  Extensible, Efficient Quantum Algorithm Design for Humans
HOST:  	  Alan Edelman
DATE:     Thursday May 30 2019, 4PM
LOCATION: The STAR Conference room (32-D463) is on the 4th floor of
 	  the Dreyfoos Wing in the Stata Center.
SPEAKER:  Xiuzhe Luo, Graduate Student, University of Waterloo


Details

In this talk, I will introduce the design of the Julia package Yao.jl
and how it helps accelerate quantum algorithm design.

The study of variational quantum algorithms is gaining popularity.
Variational quantum optimization algorithms such as quantum circuit
Born machine, quantum approximation optimization algorithm,
variational quantum eigensolver and quantum circuit learning are
promising for near term quantum computers. These algorithms require
the flexibility to tune parameters and to leverage circuit patterns
such as "arbitrary rotation block" and "CNOT entangler". In a
departure from traditional simulators and frameworks, we have designed
and developed a framework along with an Intermediate Representation
(IR) to represent, simulate and manipulate quantum circuits. Our
design enables:

- Hierarchical design of quantum algorithms
- Heterogeneous computing
- Flexibility in dispatch parameters
- Caching matrix forms to speed up simulation
- Greater abstraction for quantum circuits

Yao.jl on Github: https://github.com/QuantumBFS/Yao.jl

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