add state-of-the-art exploration
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3 changed files with 89 additions and 22 deletions
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@ -39,6 +39,7 @@
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text(fill: rgb("#00b3dc"), size: 1.3em)[#it.indented(it.prefix(), it.body())],
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)
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= Week 3
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== The Goal
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@ -116,6 +117,34 @@
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- Differentiable Optimization strategies
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== State-of-the-art
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#slide[
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#cetz-canvas({
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import cetz.draw: *
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line((0, 0.4), (0, 9), mark: (symbol: "stealth"))
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content((-3, 4.5), anchor: "east", [Hardware])
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content((-0.4, 1.0), anchor: "east", [agnostic])
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content((-0.4, 8.0), anchor: "east", [specific])
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line((0.4, 0), (9, 0), mark: (symbol: "stealth"))
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content((5, -1.4), anchor: "north", [Task])
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content((2, -0.4), anchor: "north", [agnostic])
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content((8, -0.4), anchor: "north", [specific])
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content((1.3, 2), text(size: 0.6em)[HEA@expressibility-and-entanglement])
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content((1.2, 0.7), text(size: 0.6em)[Random])
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content((9, 1), text(size: 0.6em)[UCCSD])
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content((9, 4), text(size: 0.6em)[RL-VQE@akash])
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content((7, 6), text(size: 0.6em)[HaQGNN@liu2025haqgnnhardwareawarequantumkernel])
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content((8, 3), text(size: 0.6em)[Supernet@architecture-search])
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circle((1.1, 7), radius: (1, 2.0), fill: rgb(0, 90, 180).lighten(40%))
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content((1.1, 7), [Goal])
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})
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]
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#let chev(start, len, f: none) = {
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@ -155,27 +184,31 @@
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// green = planning
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// blue = free
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// red = make thing
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line((5.5, -0.5), (5.5, lower), stroke: (paint: rgb("#ff00cc")))
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content((5.0, lower - 0.1), anchor: "north", "Introduction")
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line((14.5, -0.5), (14.5, lower), stroke: (paint: rgb("#ff00cc")))
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content((14, lower - 0.1), anchor: "north", "Midterm")
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chev((0.6,-2), 6.6, f: lg(yellow, yellow.darken(10%)))
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chev((6.2,-2), 1.0, f: gradient.linear(green, rgb(0,0,0,0), angle: 60deg).sharp(3).repeat(6))
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content((1.1,-2), anchor: "west", "Literature")
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chev((7, -2), 2, f: lg(blue.lighten(20%), blue.lighten(5%)))
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content((7.5, -3.5), anchor: "north", "Holiday")
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chev((9, -2), 6, f: lg(red, red.darken(10%)))
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content((10, -2), anchor: "west", "Make V1")
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chev((15.5, -2), 10.5, f: lg(red, red.darken(10%)))
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content((15.5, -1.5), anchor: "west", "Improvements")
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content((19.5, -2.5), anchor: "west", "Testing")
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chev((15.5 + 10.5, -2), 2, f: lg(purple, purple.darken(10%)))
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content((25.5, -3.5), anchor: "north", "Writing")
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// line((5.5, -0.5), (5.5, lower), stroke: (paint: rgb("#ff00cc")))
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// content((5.0, lower - 0.1), anchor: "north", "Introduction")
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//
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// line((14.5, -0.5), (14.5, lower), stroke: (paint: rgb("#ff00cc")))
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// content((14, lower - 0.1), anchor: "north", "Midterm")
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//
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// chev((0.6,-2), 6.6, f: lg(yellow, yellow.darken(10%)))
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// chev((6.2,-2), 1.0, f: gradient.linear(green, rgb(0,0,0,0), angle: 60deg).sharp(3).repeat(6))
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// content((1.1,-2), anchor: "west", "Literature")
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// chev((7, -2), 2, f: lg(blue.lighten(20%), blue.lighten(5%)))
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// content((7.5, -3.5), anchor: "north", "Holiday")
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//
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// chev((9, -2), 6, f: lg(red, red.darken(10%)))
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// content((10, -2), anchor: "west", "Make V1")
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//
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// chev((15.5, -2), 10.5, f: lg(red, red.darken(10%)))
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// content((15.5, -1.5), anchor: "west", "Improvements")
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// content((19.5, -2.5), anchor: "west", "Testing")
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//
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// chev((15.5 + 10.5, -2), 2, f: lg(purple, purple.darken(10%)))
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// content((25.5, -3.5), anchor: "north", "Writing")
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})
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]
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#slide[
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== References <touying:unoutlined>
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#bibliography("references.bib", title: [])
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]
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1
presentations/references.bib
Symbolic link
1
presentations/references.bib
Symbolic link
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@ -0,0 +1 @@
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../report/references.bib
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@ -134,6 +134,16 @@
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year = {2020},
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}
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@misc{akash,
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title={Reinforcement learning-assisted quantum architecture search for variational quantum algorithms},
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author={Akash Kundu},
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year={2024},
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eprint={2402.13754},
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archivePrefix={arXiv},
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primaryClass={quant-ph},
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url={https://arxiv.org/abs/2402.13754},
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}
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@article{architecture-search,
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author = {Du, Yuxuan and Huang, Tao and You, Shan and Hsieh, Min-Hsiu and Tao,
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Dacheng},
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@ -278,3 +288,26 @@
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url = {https://doi.org/10.1007/s11432-024-4486-x},
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}
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@article{Hirsbrunner2024beyondmp,
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doi = {10.22331/q-2024-11-26-1538},
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url = {https://doi.org/10.22331/q-2024-11-26-1538},
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title = {Beyond {MP}2 initialization for unitary coupled cluster quantum circuits},
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author = {Hirsbrunner, Mark R. and Chamaki, Diana and Mullinax, J. Wayne and Tubman, Norm M.},
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journal = {{Quantum}},
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issn = {2521-327X},
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publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},
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volume = {8},
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pages = {1538},
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month = nov,
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year = {2024}
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}
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@misc{liu2025haqgnnhardwareawarequantumkernel,
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title={HaQGNN: Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks},
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author={Yuxiang Liu and Fanxu Meng and Lu Wang and Yi Hu and Sixuan Li and Xutao Yu and Zaichen Zhang},
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year={2025},
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eprint={2506.21161},
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archivePrefix={arXiv},
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primaryClass={quant-ph},
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url={https://arxiv.org/abs/2506.21161},
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}
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