Qimin Yan, Tongcang Li, Xingyu Gao, Sumukh Vaidya, Saakshi Dikshit, Yue Luo, Stefan Strauf, Reda Moukaouine, Anton Pershin, Adam Gali, Zhenyao Fang, Harvey Stanfield, Ivan J. Vera-Marun, Michael Newburger, Simranjeet Singh, Tiancong Zhu, Mauro Brotons-Gisbert, Klaus D. Jöns, Brian D. Gerardot, Brian S. Y. Kim, John R. Schaibley, Kyle L. Seyler, Jesse Balgley, James Hone, Kin Chung Fong, Lin Wang, Guido Burkard, Yihang Zeng, Tobias Heindel, Serkan Ateş, Tobias Vogl, Igor Aharonovich
quant-phcond-mat.mtrl-sciSubmitted Dec 16, 2025• Announced Dec 18, 2025
Two-dimensional (2D) materials have emerged as a versatile and powerful platform for quantum technologies, offering atomic-scale control, strong quantum confinement, and seamless integration into heterogeneous device architectures. Their reduced dimensionality enables unique quantum phenomena, including optically addressable spin defects, tunable single-photon emitters, low-dimensional magnetism, gate-controlled superconductivity, and correlated states in Moiré superlattices. This Roadmap provides a comprehensive overview of recent progress and future directions in exploiting 2D materials for quantum sensing, computation, communication, and simulation. We survey advances spanning spin defects and quantum sensing, quantum emitters and nonlinear photonics, computational theory and data-driven discovery of quantum defects, spintronic and magnonic devices, cavity-engineered quantum materials, superconducting and hybrid quantum circuits, quantum dots, Moiré quantum simulators, and quantum communication platforms. Across these themes, we identify common challenges in defect control, coherence preservation, interfacial engineering, and scalable integration, alongside emerging opportunities driven by machine$-$learning$-$assisted design and integrated experiment$-$theory feedback loops. By connecting microscopic quantum states to mesoscopic excitations and macroscopic device architectures, this Roadmap outlines a materials-centric framework for integrating coherent quantum functionalities and positions 2D materials as foundational building blocks for next-generation quantum technologies.
Comments
81 pages; submitted to 2D Materials, IOP Publishing
Two-dimensional (2D) materials have emerged as a versatile and powerful platform for quantum technologies, offering atomic-scale control, strong quantum confinement, and seamless integration into heterogeneous device architectures. Their reduced dimensionality enables unique quantum phenomena, including optically addressable spin defects, tunable single-photon emitters, low-dimensional magnetism, gate-controlled superconductivity, and correlated states in Moiré superlattices. This Roadmap provides a comprehensive overview of recent progress and future directions in exploiting 2D materials for quantum sensing, computation, communication, and simulation. We survey advances spanning spin defects and quantum sensing, quantum emitters and nonlinear photonics, computational theory and data-driven discovery of quantum defects, spintronic and magnonic devices, cavity-engineered quantum materials, superconducting and hybrid quantum circuits, quantum dots, Moiré quantum simulators, and quantum communication platforms. Across these themes, we identify common challenges in defect control, coherence preservation, interfacial engineering, and scalable integration, alongside emerging opportunities driven by machine−learning−assisted design and integrated experiment−theory feedback loops. By connecting microscopic quantum states to mesoscopic excitations and macroscopic device architectures, this Roadmap outlines a materials-centric framework for integrating coherent quantum functionalities and positions 2D materials as foundational building blocks for next-generation quantum technologies.
Abstract This review provides a comprehensive overview of the key materials underpinning quantum technologies, including two-dimensional system (2D), superconducting materials, and nitrogen-vacancy (NV − ) centers in diamond. Particular emphasis is placed on their roles in quantum sensing, communication, and qubit design. Quantum sensors, such as atomic vapor magnetometers, solid-state spin sensors, and superconducting quantum interference devices (SQUID) circuits, have become essential tools for measuring magnetic fields and detecting physical phenomena at extremely small scales. These technologies, with diverse applications ranging from medicine and geophysics to biotechnology and materials science, offer new opportunities for detecting and measuring nanoscale phenomena and are poised to play a key role in the future of quantum technologies.
Quantum information science is entering a second phase, the Quantum Evolution 2.0, in which the challenge has shifted from demonstrating coherent control of individual quantum states to building scalable multi-qubit processors and networks. This transition places materials science at the center of the field. Across superconducting circuits, quantum defects, quantum photonic devices, and emerging materials platforms, including two-dimensional materials and heterostructures, performance is now limited less by device design than by poorly controlled surfaces, buried interfaces, and defects whose atomic identities remain incompletely known. This review surveys the materials challenges of these quantum platforms together with the characterization methods needed to resolve them. For each platform we identify the dominant decoherence mechanisms, the current state of materials understanding, and the most pressing open materials problems. A cross-platform comparison then reveals a shared structure-coherence problem. The implicated material chemistry recurs across platforms, involving light elements in disordered or buried environments, yet no platform can quantitatively connect a specific atomic-scale structure to a measured change in coherence. We close by identifying three needs, mechanistic understanding of decoherence at the atomistic level, high-throughput proxy metrics predictive of device performance, and characterization tools built for quantum materials, whose resolution would advance coherence, scalability, and integration across all platforms.
Quantum materials—systems whose behavior is governed not by semiclassical approximations but by inherently quantum-mechanical phenomena—are rapidly emerging as foundational technologies for next-generation therapeutic innovation. This chapter explores how strong electronic correlations, quantum confinement, entanglement, and non-trivial topology enable new classes of biomedical tools and computational platforms with capabilities far beyond those achievable with traditional materials. Two complementary paradigms define the role of quantum materials in therapeutics. First, quantum materials function as direct therapeutic and diagnostic agents: quantum dots, graphene-based nanosystems, and other nanoscale structures exhibiting size-dependent emission, tunable fluorescence, and engineered surface chemistries enable ultra-sensitive biosensing, multimodal bioimaging, and targeted drug delivery with high precision. Second, quantum materials form the hardware substrate of quantum computation, providing superconducting, photonic, and ion-based architectures capable of simulating biological complexity and accelerating molecular discovery from first principles. This chapter outlines the physical underpinnings of quantum materials, surveys leading classes of quantum platforms—including superconducting transmons, trapped ions, and monolithic photonic processors—and evaluates their implications for drug discovery, diagnostics, and personalized medicine. By unifying the tangible nanoscale engineering of quantum materials with the abstract computational power of quantum processors, this chapter establishes a holistic framework for the future of quantum-enhanced therapeutics and highlights the roadmap toward scalable, fault-tolerant quantum platforms capable of transforming the biomedical sciences.
Atomically thin two-dimensional materials, with their ultra-thin structure and exceptional sensitivity to the local environment, are emerging as an important platform for next-generation quantum sensing. Their van der Waals bonding and atomic thin layers allow sensing elements to be placed in extremely close proximity to target systems—often just a few atoms away. This proximity dramatically enhances interactions with local optical, mechanical, and electrostatic fields, enabling exceptionally sensitive detection with ultrahigh spatial resolution. Beyond sensitivity, the layered van der Waals architecture offers a unique opportunity to integrate multiple sensing functions into a unified platform, where sensing, signal amplification, and readout can be distributed across tailored layers rather than relying on a single sensor element. Recent advances in optically addressable spin defects in hexagonal boron nitride and excitonic and polaritonic platforms in transition-metal dichalcogenides highlight the emergence of a new generation of quantum and quantum-enhanced sensors. These sensors conform to various substrates and enable multiparameter detection. In this Perspective, we outline the principles that distinguish atomically thin quantum sensors from bulk counterparts and explore emerging opportunities and challenges in developing scalable, multifunctional 2D quantum sensing technologies.
Single-photon sources that are bright, pure, and interference-ready are essential for quantum communication and photonic quantum information processing, but many solid-state platforms still rely on bulky optical excitation, careful alignment, and post-selection to achieve useful linewidth, stability, and brightness. Scalable quantum photonics instead requires turnkey quantum-light engines that can be triggered on demand, stabilized against environmental noise, and efficiently interfaced with fibers or photonic circuits. This review surveys recent progress in electronic and photonic integration of single quantum emitters in two-dimensional materials, focusing on localized excitonic emitters in transition metal dichalcogenides and defect-based color centers in hexagonal boron nitride. On the electronic side, we discuss electrical injection, fast modulation, electrostatic stabilization, and Stark tunability as routes to suppress blinking, spectral wandering, and charge-noise-induced broadening. On the photonic side, we review waveguide and resonator platforms that funnel emission into well-defined optical modes and, in some cases, enhance radiative rates through the Purcell effect. We connect these integration strategies to key source metrics, including single-photon purity, brightness, spectral stability, and photon indistinguishability. We conclude that the next stage of progress will depend on co-designed electronic and photonic architectures that jointly optimize on-demand operation, stabilization, tunability, and packaging-compatible optical interfacing.
Abstract Single-photon emitters (SPEs) constitute a foundational resource for quantum technologies, including secure communication, photonic quantum computing, and emerging quantum network architectures. A wide range of quantum materials, from atom-like point defects in bulk crystals to excitonic states in low-dimensional semiconductors, now provide bright, coherent, and scalable sources of non-classical light. Meanwhile, advances in photonic integration have enabled efficient routing, filtering, and on-chip manipulation of these emitters. From this perspective, we survey and discuss the technological landscape in which solid-state emitters interface with quantum sensing, quantum communication, quantum computation, and emerging photonic artificial intelligence platforms. Further, we discuss the materials landscape underpinning modern single-photon sources from the zero-dimensional, one-dimensional, two-dimensional and three-dimensional materials. Lastly, we highlight key integration pathways for these SPEs into scalable quantum photonic systems.