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Quantum Physics Lab
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A lab that uses theory to test whether AI understands physics.
AboutAbout the lab
Does AI understand nature?
The Quantum Physics Lab investigates how neural networks understand phenomena in the natural sciences, and explores ways to apply that understanding to natural science research.
Its methods are rooted in theoretical physics, and the lab conducts research through theory and numerical experiments. Apart from computers, it uses no experimental equipment.
The research targets are mainly physical systems in quantum physics, but the lab extends them to natural science in general, including mathematical physics models and the base sequences of biological DNA and RNA.
Key terms
- Neural network
- A computational method modeled on how biological brains work. It learns from data to make predictions and judgments, and is a core technology of AI
- Wave function
- In quantum mechanics, a function that expresses where and with what probability a particle will be found
- Base sequence
- In DNA and RNA, the order in which the four types of bases that encode genetic information are arranged
ResearchResearch themes
The lab investigates how neural networks understand natural phenomena, using methods rooted in theoretical physics.
*Illustrative imageUnderstanding natural science with AI
Through theory and numerical experiments, the lab studies how neural networks understand natural phenomena and, conversely, how to use them to advance our understanding of natural phenomena. The targets are mainly physical systems, but cover natural science in general, including DNA and RNA base sequences.
*Illustrative imageCan AI learn quantum mechanics?
In one-dimensional quantum mechanics, the lab trained a neural network to predict energy from a potential. It could also reproduce wave functions it had not been taught almost correctly, showing that the AI had understood the underlying theory of quantum mechanics.
MembersFaculty
The faculty member of the Quantum Physics Lab is Assistant Professor Kenzo Ogure.
- Assistant ProfessorKenzo Ogure
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Client Project Hashcat Testing With an AMD Epyc Supermicro Nvidia GPU Server Using Proxmox (Lawrence Systems) 08” Lawrence Systems / CC BY 3.0 (cropped)
- Understanding natural science with AI: “Neural Network” QuantuMechaniX8 / CC0 (cropped)
- Can AI learn quantum mechanics?: “3 trajectories guided by the wave function” Alexandre Gondran / CC BY-SA 4.0 (cropped)
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