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Terashi Lab (ICEPP)
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The lab studies quantum information, using quantum computers and quantum sensors to take on particle physics.
AboutAbout the lab
Using quantum computers to push past the limits of fundamental physics.
Terashi Lab works on quantum information research using quantum computers and on its applications to particle physics.
In addition to quantum algorithms such as quantum machine learning and quantum simulation, the lab studies implementation techniques for real quantum hardware and quantum error correction.
The lab also uses superconducting qubits as quantum sensors to search for dark matter.
By building a foundation for applying quantum technologies to particle physics, astrophysics, and gravity, the lab explores new approaches to fundamental physics.
Key terms
- Qubit
- The basic unit of information in a quantum computer, which can be in a superposition of 0 and 1
- Quantum error correction
- A technique that detects and fixes errors caused by noise in qubits by storing information redundantly
- Lattice gauge theory
- A theoretical framework that divides space into a lattice so that the forces acting between elementary particles can be calculated
NewsLab news
Paper on quantum circuit optimization published in Journal of Physics Communications
Paper submitted presenting the results of joint research with TOPPAN
Paper on Bayesian quantum state search published in IEEE Transactions on Quantum Engineering
Paper submitted presenting the results of joint research with Yokogawa Electric
ResearchResearch themes
As the field moves from today's noisy quantum computers to fault-tolerant quantum computers, the lab studies quantum algorithms and their implementation on real hardware, quantum error correction, and dark matter searches with quantum sensors. It aims to build a foundation for applying quantum technologies to particle physics, astrophysics, and gravity.
*Illustrative imageQuantum Machine Learning
Through theory and numerical computation, the lab investigates how easily quantum models can be trained and how well they generalize. Topics include the vanishing-gradient problem, where the signal that guides learning disappears in quantum models, and the double descent phenomenon, in which predictive performance improves once the number of parameters exceeds the amount of data. The lab also works on verifying quantum advantage in learning quantum dynamics.
*Illustrative imageQuantum Simulation of Lattice Gauge Theories
This research uses quantum computers to find the ground-state energy of lattice gauge theories. The lab studies precision measurements that combine a 156-qubit processor with error mitigation on a supercomputer, as well as methods for preparing ground states for fault-tolerant quantum computation.
*Illustrative imageQuantum Error Correction and Noise Estimation
The lab designs error correction that exploits the local gauge symmetry of gauge theories, as well as concatenated codes that combine autonomous quantum error correction codes with stabilizer codes. It also studies highly accurate methods for estimating quantum noise at low computational cost.
*Illustrative imageDark Matter Searches with Quantum Sensors
The lab is carrying out "DarQ," an experiment that uses superconducting qubits to search for wave-like dark matter such as axions and dark photons. By amplifying signals through quantum entanglement and quantum interference, it aims for measurement sensitivity close to the Heisenberg limit.
MembersFaculty
Members of Terashi Lab consist of faculty, doctoral and master's students, and interns.As of 2026
- ProfessorKoji TerashiPublications ↗
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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: “Quantum-computer-Chalmers 2017” Anita Fors (Chalmers) / CC BY-SA 4.0 (cropped)
- Quantum Machine Learning: “Artificial Neural Network with Chip” mikemacmarketing / photo on flickr / CC BY 2.0 (cropped)
- Quantum Simulation of Lattice Gauge Theories: “Pleiades two row” NASA Ames Research Center / Public domain (cropped)
- Quantum Error Correction and Noise Estimation: “Quantum circuit that exhibits Parity Measurement” Vtomole / CC BY-SA 4.0 (cropped)
- Dark Matter Searches with Quantum Sensors: “Superconducting Metamaterial Chip 005” OJB Quantum / CC BY 4.0 (cropped)
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