Breathing room for quantum chips: Study shows noisy links can still scale systems.
UC Riverside researchers show scalable quantum systems are possible with noisy chip links, defying hardware limits.
Nearly a decade after they first demonstrated that soft materials could guide the formation of superconductors, Cornell researchers have achieved a one-step, 3D printing method that produces superconductors with record properties.
The advance, detailed in Nature Communications, builds on years of interdisciplinary work led by Ulrich Wiesner, the Spencer T. Olin Professor in the Department of Materials Science and Engineering, and could improve technologies such as superconducting magnets and quantum devices.
Wiesner and colleagues reported in 2016 the first self-assembled superconductor using block copolymers—soft, chain-like molecules that naturally arrange themselves into orderly, repeating nanoscale structures. By 2021, the group found that these soft material approaches could produce superconducting properties on par with conventional methods.
The internet, social media, and digital technologies have completely transformed the way we establish commercial, personal and professional relationships. At its core, this society relies on the exchange of information that is expressed in terms of bits. This basic unit of information can be either a 0 or a 1, and it is usually represented in electrical circuits, for instance, as two voltage levels (one representing the bit in state 0 and the other representing state 1).
The ability to store and manipulate bits efficiently lays the basis of digital electronics and enables modern devices to perform a variety of tasks, ranging from sending emails and playing music to numerical simulations. These processes are only possible thanks to key hardware components like random-access memory (RAM), which offer temporary storage and on-demand retrieval of data.
In parallel, advances in quantum physics have led to a new kind of information unit: the qubit. Unlike classical bits, which are strictly 0 or 1, qubits can exist in a superposition of both states at once. This opens up new possibilities for processing and storing information, although its practical implications are still being explored.
Earlier this year, the company confirmed that its next-generation rack-scale AI platforms will abandon pluggable optical modules in favor of co-packaged optics. At the Hot Chips conference, Nvidia shared new details about its upcoming photonic interconnect products – Quantum-X and Spectrum-X Photonics – scheduled for launch in 2026 for InfiniBand and Ethernet, respectively.
The simulation of quantum systems and the development of systems that can perform computations leveraging quantum mechanical effects rely on the ability to arrange atoms in specific patterns with high levels of precision. To arrange atoms in ordered patterns known as arrays, physicists typically use optical tweezers, highly focused laser beams that can trap particles.
While quantum computers are already being used for research in chemistry, material science, and data security, most are still too small to be useful for large-scale applications. A study led by researchers at the University of California, Riverside, now shows how “scalable” quantum architectures—systems made up of many small chips working together as one powerful unit—can be made.
An incredible breakthrough brings quantum-scale precision sensing to living biological systems.