Q2B 2019 | Quantum Convolutional Neural Networks | Iris Cong | Harvard
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- Опубліковано 5 лют 2020
- Iris Cong, a graduate student at Harvard University, presents to attendees on Day 3 of the Practical Quantum Computing Conference, an annual conference hosted by QC Ware.
Recorded sessions and conference details can be found at: q2b.qcware.com/
More information on QC Ware can be found at: qcware.com/
Get in touch with the QC Ware team at: qcware.com/contact
To learn about how to get started with Forge, QC Ware's data science platform running on quantum computers, visit forge.qcware.com/. - Наука та технологія
Great work Iris !!!!
amazing presentation
Thank you so much for providing this!
This is a great paper, and awesome work. However it's important for people to watch the part where Iris Cong answers the question about application to classical data (pictures of cats for example) rather than quantum data (input from quantum sensors or control signals in a QIP). ua-cam.com/video/C7kK5m7d10Q/v-deo.html . It looks to me that in the current SOA loading classical data into a QIP is an exponential time task, moreover Quantum RAMs are difficult to build (they are small and delicate) so it is not clear that there is any advantage in using a QIP implementing a QNN for a classical task. Point me to papers that say different!
classical data is indeed hard to load into quantum computers, so people have been thinking of using the exponential hilbert space for kernel methods, i.e. augmenting the original data with non linear features (e.g., instead of (x1, x2, ...), uses (1, x1, x2, ..., x1^2, x2^2, x1x2, ...), which can be done polynomially for certain well-designed nonlinear kernels.
I don't think you need QRAM for loading data, do you? The data loading is done by creating a set of gates |phi>^n.
@@hanchisun6164 Well - if creating the gates is easier than loading to QRAM then fair enough. But devices like that are not general purpose computers.
Actually - let me rephrase it - I do think that a QRAM is required. Anyone with any sort of idea about computer science would agree with me.
is this music? or is it flow?
Whooa! Sheesh!😮
😬🤔🙃
breh
lmaoo