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Computer Architecture Lab
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The lab works on designing architectures that turn quantum computers into working machines.
AboutAbout the lab
Putting quantum power into working computers
The Computer Architecture Lab studies the principles and technologies for designing the fundamental structure of computers and performing computation efficiently.
To realize computation based on new principles, such as quantum computation, as an actual working computer, new architectures are needed.
The lab explores design principles for next-generation computers, represented by quantum computers, aiming to realize innovative computing platforms and to deepen quantum information science.
Key terms
- Quantum error correction
- A technique that uses codes to detect and correct errors in noise-prone qubits so that computation can continue
- Qubit
- The unit of information in a quantum computer. It can take a superposition of 0 and 1
- Quantum machine learning
- A research field that performs machine learning using quantum computers
ResearchResearch themes
The lab works on quantum error correction and fault-tolerant quantum computers, quantum algorithms and the evaluation of their advantage, and the development of interdisciplinary areas combining new-principle computing and quantum information.
*Illustrative imageFault-tolerant quantum computers
To perform large-scale computation on noise-prone quantum computers, the lab studies the theory and architecture of fault-tolerant quantum computers that use quantum error-correcting codes, aiming to reduce required resources such as the number of qubits.
*Illustrative imageQuantum algorithms and quantum advantage
Through analysis based on computational complexity theory, the lab systematically clarifies for which problems quantum computation excels, and works on constructing and applying concrete quantum algorithms.
*Illustrative imageOpening up computation based on new principles
Going beyond quantum computation, the lab studies new frameworks for information processing and their underlying theory. It also focuses on new cross-disciplinary research areas such as quantum reservoir computing and quantum machine learning.
MembersFaculty
The faculty member of the Computer Architecture Lab is Professor Keisuke Fujii.
- ProfessorKeisuke Fujii
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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: “A Wafer of the Latest D-Wave Quantum Computers ( )” Steve Jurvetson from Menlo Park, USA / CC BY 2.0 (cropped)
- Fault-tolerant quantum computers: “Superconducting Quantum Chip with Dispersive Background” OJB Quantum / CC BY 4.0 (cropped)
- Quantum algorithms and quantum advantage: “Quantum Full Adder” Omnissiahs hierophant / CC BY-SA 4.0 (cropped)
- Opening up computation based on new principles: “Quantum Computer with Dispersive Background 2” OJB Quantum / CC BY 4.0 (cropped)
- Related lab (Collective Intelligence Systems Lab): “DataAppliedWeb” Marksenizer / CC BY-SA 3.0 (cropped)
- Related lab (Nonlinear Dynamics and Computational Physics Group): “Mandel zoom 11 satellite double spiral” Created by Wolfgang Beyer with the program Ultra Fractal 3. / CC BY-SA 3.0 (cropped)
- Related lab (Theoretical Neuroscience and Mathematics of Nonequilibrium Systems Group): “Neuron Heart” Piku4chemia / CC BY-SA 4.0 (cropped)
- Related lab (Computer Software Lab): “Source code in Javascript” Romainhk / CC BY-SA 3.0 (cropped)
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