姚健 | Can GPT Speak the Quantum Language?
合集 · 2nd CMP Workshop (17)
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赵云柯 | 广义相对论中的守恒荷:从静态时空到渐近对称性
1:00:23
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佟仁杰 | A Brief Introduction to Quantum geometry
50:18
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王俊凯 | An Introduction to Blackhole Thermodynamics
2:12:32
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姚健 | Can GPT Speak the Quantum Language?
38:23
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潘逸文 | Holomorphic quasi-modular bootstrap, defects and mirror symmetry
1:07:02
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Allan Mo | Axions: From theoretical prediction to dark matter candidates
19:34
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祁琼宇 | 从应力张量和守恒流的角度看AdS/CFT对偶
1:29:01
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胡知遥 | Quantum Metrology with Many-Body States
43:56
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冯哲 | Noether's Theorem and AdS_3 Gravity
57:58
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冀宇韬 | From Ladder Operator to Supersymmetry Quantum Mechanics
1:02:19
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彭程 | Chaos and SYK-like models
1:09:15
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王俊凯 | The Art of Dimensional Analysis & Estimation Calculus
1:16:52
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周洋 | A New Formula on Defect in Quantum Field Theory
1:08:29
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杨祺 | 暗物质、暗能量及其对宇宙大尺度结构的影响
1:30:35
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鲜于中之 | Recent progress in cosmological collider and cosmological amplitudes
1:07:11
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【南方科技大学数学物理社2nd workshop】李秦埙:(观测)宇宙学简介——几何观测限制
1:55:44
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【南科大数学物理社2nd workshop】林海:Dictionaries in Gauge/Gravity Duality
2:05:25
Comments
只在N=10个qubit的模型上测试了,就没法回答一个最重要的问题,这个东西的“能力”随着N是怎样scale的。如果需要exponential的参数和输入数据,就很难说采用gpt带来了什么突破
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