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Hasegawa Lab
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A lab that explores the mechanisms of heat and quantum phenomena across information science and physics.
AboutAbout the lab
Uncovering the physical essence of information.
The lab conducts theoretical research spanning information science and physics.
It uses theories such as stochastic processes, machine learning, quantum mechanics, information thermodynamics, and relativity.
It deals with phenomena in which many elements influence one another in complex ways, strongly nonlinear phenomena such as biological oscillations, and states far from equilibrium.
Its targets are a broad range of phenomena that have not been addressed within individual fields until now.
Key terms
- Stochastic process
- A mathematical model that uses probability to describe phenomena that change randomly over time
- Information thermodynamics
- A field that studies the relationship between information and heat or work, using entropy as a guide
- Thermodynamic uncertainty relation
- A relation that expresses quantitatively the fact that higher precision requires more energy
ResearchResearch themes
The lab conducts research to elucidate the physical essence of information. It builds theories that integrate information science and physics, and tackles phenomena that neither field could address on its own.
*Illustrative imageRelationship Between Precision and Energy
Achieving high precision requires a large amount of energy. The lab has proposed thermodynamic uncertainty relations, which express this relationship quantitatively, based on information-theoretic estimation theory and fluctuation theorems, and has discovered previously unknown relations.
*Illustrative imageQuantum Thermodynamics and Quantum Information
This field deals with heat and work at the quantum level, such as in atoms and spins. Using quantum estimation theory and quantum information, the lab investigates the precision limits and speed limits of quantum systems.
*Illustrative imageMachine Learning and Thermodynamics
The lab improves machine learning algorithms by incorporating new insights from nonequilibrium thermodynamics. It applies the theory of the Jarzynski equality to sampling algorithms and studies methods for fast sampling.
*Illustrative imageInformation Thermodynamics
Entropy in thermodynamics and entropy in information science are expressed by the same formula, and the two are related not only in form but in essence. The lab studies thermodynamic uncertainty relations based on information theory, as well as relations that include information transfer.
MembersFaculty
The members of the Hasegawa Lab consist of faculty, postdoctoral researchers, secretaries, doctoral, master's, and undergraduate students, and research students.As of 2026
- ProfessorYoshihiko HasegawaPublications ↗
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
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On a 4-point scale, ● marks where students' answers fall
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RelatedLabs similar to Hasegawa Lab
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Hirose-Natsuaki LabFaculty of Engineering, Department of Information and Communication EngineeringSeeing, sensing, and speaking with radio-wave "eyes" and AI …The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Quantum Computer with Dispersive Background” OJB Quantum / CC BY 4.0 (cropped)
- Relationship Between Precision and Energy: “Inverse gaussian as stopping time of random walk” Cosmia Nebula / CC BY-SA 4.0 (cropped)
- Quantum Thermodynamics and Quantum Information: “Quantum metamaterial with 24 artificial atoms” FMNLab / CC BY 4.0 (cropped)
- Machine Learning and Thermodynamics: “SimulatedAnnealingSlow” Cyp at English Wikipedia / CC BY-SA 3.0 (cropped)
- Information Thermodynamics: “Entropy max” Akribix / CC BY-SA 2.5 (cropped)
- Related lab (Yamasaki Lab): “Artificial Neural Network with Chip” mikemacmarketing / photo on flickr / CC BY 2.0 (cropped)
- Related lab (Tsuruoka Lab): “Othello-Standard-Board” Zen ar218 / Public domain (cropped)
- Related lab (Minematsu-Saito Lab): “Long-window reassigned spectrogram of speech” Kelly Fitz / CC BY-SA 3.0 (cropped)
- Related lab (Hirose-Natsuaki Lab): “Radar image of the Danube Delta ESA223752” European Space Agency / CC BY-SA 3.0 igo (cropped)
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