Vol.23 No. 4
Quantum Research, Accelerated by Materials
Entanglement Weaves the Future
A century has passed since the birth of quantum mechanics.*1
In this commemorative year, the Nobel Prize in Physics has been awarded to three researchers*2 whose discoveries in circuit-based macroscopic tunneling and energy quantization underpin today’s “quantum computer.”
Quantum phenomena—matter’s behavior governed by quantum mechanics—are also spawning visions of “quantum sensors” and “quantum cryptography,” igniting a fierce worldwide race to turn these ideas into reality.
Research on “quantum materials” is the stage upon which such phenomena can be brought under control. What we must control are the extreme events woven by a single electron or photon.
The question is: how do we control them?
In the research and development of quantum materials, factors previously negligible—such as trace impurities and defects within crystals, or manufacturing tolerances at the nanometer scale—must now be taken into account. Simultaneously, cutting-edge measurement techniques are revealing ever more distinctive quantum properties, continually expanding the frontiers of the quantum world.
How far has quantum-materials research come, and where is it heading?
Drawing on NIMS’ case studies, we trace its path and sketch the future it suggests.
*1 In 1925, Werner Heisenberg (Germany) published matrix mechanics, marking the birth of quantum mechanics.
*2 For the discovery of macroscopic tunneling and energy quantization in electrical circuits, the 2025 Nobel Prize in Physics is awarded to John Clarke, Michel Devoret, and John Martinis.

Research Highlights
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2025.10.27
World’s First Demonstration of Single-Electron Control in ZnO Quantum Dots
Case #1 World’s First Demonstration of Single-Electron Control in ZnO Quantum Dots World-Class ZnO Thin-Film Growth Among the many contenders for semiconductor-based qubits, Dr. Kozuka, who leads the Qubit Materials Group, focuses on zinc oxide (ZnO). “ZnO is promising for qubits because both the spin–orbit and hyperfine interactions are weak, and the conduction band has […]
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2025.10.27
Unlocking the Quantum-Device Potential of Graphene
Case #2 Unlocking the Quantum-Device Potential of Graphene Toward Simultaneous Spin–Valley Control Graphene—a two-dimensional sheet of carbon atoms in a hexagonal lattice—is now in the spotlight as a quantum material. Most carbon atoms are carbon-12 (¹²C), which has no nuclear spin, so graphene avoids hyperfine interaction that would otherwise shorten coherence time—how long an electron […]
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2025.10.27
Breaking the Common Wisdom of Superconductivity using Atomic-Layer Films
Two-dimensional materials consisting of metallic atomic layers on semiconductor substrates can exhibit superconductivity despite their ultrathin nature—and they show exceptional magnetic-field robustness. Over the years, Dr. Takashi Uchihashi, Deputy Director of the Research Center for Materials Nanoarchitectonics (MANA), has steadily uncovered their intriguing properties. With his unique instrumentation and measurement techniques, he is pursuing novel quantum phenomena.
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2025.10.27
Pursuing the Ultimate Diamond for Quantum Sensors with HPHT Synthesis
Beyond being a gemstone, diamond’s extreme hardness has long made it indispensable for cutting tools. Today, it is emerging as a key material for quantum sensors that detect tiny signals—such as magnetic fields—with exceptional sensitivity. Leading NIMS’s push to synthesize such diamond by the high-pressure and high-temperature (HPHT) method is Dr. Masashi Miyakawa, Senior Researcher. […]
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2025.10.27
Probing the Mystery of High-Temperature Superconductivity with Artificial Neural Networks
Superconductivity is a state of matter in which a material’s electrical resistance falls to zero below a critical temperature. While the mechanism of superconductivity at ultralow temperatures is well understood, the origin of high-temperature superconductivity—with far higher critical temperatures—has remained elusive. Group Leader Dr. Youhei Yamaji is tackling the problem by combining machine learning with […]







