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Quantum Materials Synthesis

It has been widely recognized that whoever controls the development of novel materials controls technologies that evolve from them. The science and technology of materials synthesis are at the heart of the discovery, design, and realization of novel quantum materials that underpin quantum technologies. From a fundamental point of view, there is a current lack of clear-cut material realizations of recently proposed quantum states that promise revolutionary advances in novel technologies, including quantum spin liquids, accessible topological superconductors, room-temperature superconductors, controllable anyonic states, etc. The current mismatch between theory and experiment strongly suggests that daunting materials challenges will hinder advances in the development of quantum technologies, such as realistic quantum computers in future decades. Indeed, despite advances in quantum information processing in recent decades, major materials challenges have significantly limited progress in quantum computing hardware platforms. It requires collaborative efforts beyond the field of quantum computing to tackle these materials challenges. There is a clear indication that existing synthesis techniques are inadequate. New synthesis technologies capable of producing new phases and structures are urgently needed.

The central theme of this Special Collection is to communicate recent developments, identify new research areas, and collectively address urgent materials challenges faced by the community of quantum materials synthesis. It will serve as a renewed effort to improve the technical infrastructure available to researchers who require highly controlled sample materials for the conduct of fundamental materials investigations. This Collection presents invited articles written by leading scientists in this community and covers quantum materials synthesis of a range of forms of materials, such as bulk single crystals, thin films/heterostructures, and two-dimensional materials.

Two quantum computers with 20 qubits manage to simulate information scrambling

Four RIKEN researchers have used two small quantum computers to simulate quantum information scrambling, an important quantum-information process. This achievement illustrates a potential application of future quantum computers. The results are published in Physical Review Research.

Still in their infancy, quantum computers are only just beginning to be used for applications. But they promise to revolutionize computing when they become a mature technology.

One possible application for quantum computers is simulating the scrambling of quantum information—a key phenomenon that involves the spread of information in ranging from strange metals to .

Trapped calcium ions entangled with photons form scalable nodes for quantum networks

Researchers at the University of Innsbruck have created a system in which individual qubits—stored in trapped calcium ions—are each entangled with separate photons. Demonstrating this method for a register of up to 10 qubits, the team has shown an easily scalable approach that opens new possibilities for linking quantum computers and quantum sensors.

An artificial nervous system for communication between wearable and implantable therapeutics Authors

Bioelectronics have transformed our capacity to monitor and treat diseases; however, a lack of micrometer-scale, energy efficient communication options limit these devices from forming integrated networks that enable full-body, sensor driven, physiological control. Inspired by our nervous system’s ability to transmit information via ionic conduction, we engineered a Smart Wireless Artificial Nervous System (SWANS) that utilizes the body’s own tissue to transmit signals between wearables and implantables. When SWANS emits signals, it generates voltage gradients throughout the body that selectively turn on implanted transistor switches when exceeding their gate threshold voltages. SWANS’ implantable communication components maintain syringe-injectable footprints and 15x greater power efficiencies than Bluetooth and Near Field Communication. In vivo studies in rats demonstrate SWANS’ ability to wirelessly regulate dual hind leg motor control by connecting electronic-skin sensors to implantable neural interfaces via ionic signaling as well as coordinate bioelectronics throughout the epidermal, subcutaneous, intraperitoneal, and gastrointestinal spaces.


Ramy ghanim, yoon jae lee, garan byun, joy jackson, julia Z ding, elaine feller, eugene kim, dilay aygun, anika kaushik, alaz cig, jihoon park, sean healy, camille E cunin, aristide gumyusenge, woon hong yeo, alex abramson.

Advanced computer modeling predicts molecular-qubit performance

A qubit is the delicate, information-processing heart of a quantum device. In the coming decades, advances in quantum information are expected to give us computers with new, powerful capabilities and detectors that can pick up atomic-scale signals in medicine, navigation and more. The realization of such technologies depends on having reliable, long-lasting qubits.

Now, researchers have taken an important step in understanding the rules necessary for the design of useful, efficient qubits.

Using advanced computer modeling, the researchers came up with a way to accurately predict and fine-tune key magnetic properties of a type of device called a molecular qubit. They also figured out which factors in the material that the qubit sits in affect this tuning the most and calculated how long the qubits can live.

What happened before the Big Bang? Computational method may provide answers

We’re often told it is “unscientific” or “meaningless” to ask what happened before the Big Bang. But a new paper by FQxI cosmologist Eugene Lim, of King’s College London, UK, and astrophysicists Katy Clough, of Queen Mary University of London, UK, and Josu Aurrekoetxea, at Oxford University, UK, published in Living Reviews in Relativity, proposes a way forward: using complex computer simulations to numerically (rather than exactly) solve Einstein’s equations for gravity in extreme situations.

Ultrathin metasurface enables high-efficiency vectorial holography

Holography—the science of recording and reconstructing light fields—has long been central to imaging, data storage, and encryption. Traditional holographic systems, however, rely on bulky optical setups and interference experiments, making them impractical for compact or integrated devices. Computational methods such as the Gerchberg–Saxton (GS) algorithm have simplified hologram design by eliminating the need for physical interference patterns, but these approaches typically produce scalar holograms with uniform polarization, limiting the amount of information that can be encoded.

Defect engineering accelerates carrier relaxation in GaN-based LEDs

A study conducted by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences has demonstrated how nitrogen vacancies (VN) resolve asymmetric carrier injection in GaN-based light-emitting diodes (LEDs), providing a practical way to improve device efficiency.

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