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Yoshioka Lab
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The lab explores the boundary between the classical and quantum worlds through the theory of quantum computation.
AboutAbout the lab
Understanding and controlling the boundary between classical and quantum.
The Yoshioka Lab theoretically studies the area where quantum physics and information science overlap.
The lab aims to understand and control the boundary between the classical and quantum worlds.
By pushing classical computers and quantum devices to their limits, the lab investigates quantum many-body phenomena that have not yet been explored.
Centered on quantum computation, the lab also works on computational physics using machine learning, as well as on quantum randomness.
Key terms
- Quantum algorithm
- A step-by-step computational procedure for solving a problem on a quantum computer
- Qubit
- The smallest unit of information in a quantum computer, which can be in a superposition of 0 and 1
- Quantum error correction
- A scheme that spreads information across many qubits, then detects and repairs the parts corrupted by noise
NewsLab news
A paper on making postselection for qLDPC codes more efficient was published in Physical Review Letters
A paper on an indicator for verifying LOCC equivalence of pure states was published in Physical Review Letters
A paper on speeding up quantum measurement algorithms using symmetry was published in Physical Review Letters
A paper proving the robustness of quantum randomness generation was published in Physical Review Letters
The Material Science working group's white paper received the Best Paper 2025 award from Future Generation Computer Systems
ResearchResearch themes
The lab studies the boundary between quantum physics and information. Prompted by the dramatic advances in information processing technology, it makes full use of classical computers and quantum devices, pushing them to their limits, to investigate uncharted quantum many-body phenomena.
*Illustrative imageError Mitigation in Quantum Computation
The lab studies how to efficiently deal with the errors that creep into quantum computer calculations. It pursues methods that are the easiest to implement and highly effective, while adding little extra computational overhead.
*Illustrative imageQuantum Algorithms
The lab develops quantum algorithms with applications in condensed matter physics, statistical physics, and quantum chemistry in mind. It also investigates how computationally complex it is to simulate the dynamics of quantum systems and to extract information from them.
*Illustrative imageFault-Tolerant Quantum Computation
Quantum error correction treats many qubits together as a single unit of information in order to protect quantum information from noise. The lab investigates what is required for quantum computation equipped with this capability to be genuinely useful for physics and for science in general.
*Illustrative imageQuantum Randomness
Quantum randomness underlies a wide range of fields, from quantum information to many-body physics. The lab seeks to understand quantitatively, through quantum circuits, how symmetry affects randomness, and is advancing applications to quantum computing algorithms.
MembersFaculty
- Associate ProfessorNobuyuki YoshiokaPublications ↗
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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: “Superconducting Quantum Chip with Dispersive Background” OJB Quantum / CC BY 4.0 (cropped)
- Error Mitigation in Quantum Computation: “Quantum circuit that exhibits Parity Measurement” Vtomole / CC BY-SA 4.0 (cropped)
- Quantum Algorithms: “IBM Quantum System One” OJB Quantum / CC BY 4.0 (cropped)
- Fault-Tolerant Quantum Computation: “Wire Bonded Superconducting Quantum Chip with 6 Transmons 003” OJB Quantum / CC BY 4.0 (cropped)
- Quantum Randomness: “Six states Bloch sphere” Kevin Garapo, Mhlambululi Mafu, Francesco Petruccione / CC BY-SA 4.0 (cropped)
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