Presentation
Quantum Computing for Scientific Applications in the Noisy Intermediate-Scale Quantum Device Era
Event Type
Tutorial
Quantum Computing
TimeSunday, June 16th9am - 6pm
LocationSubstanz 1, 2
DescriptionQuantum computing is an emerging technology that promises to revolutionize
many computational tasks. However, for a non-specialist it may appear that
it is surrounded by a shroud of hype and misconception. The main goal of this
tutorial is to demystify practical quantum computing and all its vital algorithmic
aspects to a general audience of computer scientists with little to no prior
knowledge of the subject. We plan to achieve this through a combination of lecture
materials, demonstrations and hands on exercises delivered by quantum computing
experts with extensive experience in public speaking and teaching from
the US Department of Energy Research Laboratories (DOE) and
academia. In particular, we aim to elucidate quantum computing use for scientific
applications, covering the following areas: 1) quantum algorithm design;
2) quantum programming toolkits; 3) practical error mitigation for quantum
algorithms. We will focus on the design and implementation of hybrid quantum-classical
computational strategies including variational quantum eigensolver (VQE) and quantum
approximate optimization algorithms (QAOA) in the context of quantum
chemistry, nuclear structure, graph partitioning, telecommunication networks
and quantum field theory problems. We will discuss multiple practical ways to mitigate
systematic coherent errors in the nascent quantum hardware, including general techniques
such as randomized compilation.
many computational tasks. However, for a non-specialist it may appear that
it is surrounded by a shroud of hype and misconception. The main goal of this
tutorial is to demystify practical quantum computing and all its vital algorithmic
aspects to a general audience of computer scientists with little to no prior
knowledge of the subject. We plan to achieve this through a combination of lecture
materials, demonstrations and hands on exercises delivered by quantum computing
experts with extensive experience in public speaking and teaching from
the US Department of Energy Research Laboratories (DOE) and
academia. In particular, we aim to elucidate quantum computing use for scientific
applications, covering the following areas: 1) quantum algorithm design;
2) quantum programming toolkits; 3) practical error mitigation for quantum
algorithms. We will focus on the design and implementation of hybrid quantum-classical
computational strategies including variational quantum eigensolver (VQE) and quantum
approximate optimization algorithms (QAOA) in the context of quantum
chemistry, nuclear structure, graph partitioning, telecommunication networks
and quantum field theory problems. We will discuss multiple practical ways to mitigate
systematic coherent errors in the nascent quantum hardware, including general techniques
such as randomized compilation.
Content Level Beginner 40%
Intermediate 40%
Advanced 20%
Target AudienceComputer Scientist
Physical Scientist
Curious about practical quantum computing
PrerequisitesLaptop with Python environment if hands-on desired
Authors
Principal Member of Technical Staff
Principal Member of Technical Staff
Principal Member of Technical Staff
