Christine Muschik, a research associate faculty member at Perimeter Institute and a professor at the University of Waterloo’s Institute for Quantum Computing, is working at the frontier of quantum computing today – using not just “qubits” that are represented as superpositions of zeros and ones, but with multi-level “qudits” that go well beyond the binary qubit realm.

Now, applied physicists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have invented a new type of interferometer that allows precise control of light’s frequency, intensity and mode in one compact package.

Researchers at the Department of Energy’s Fermi National Accelerator Laboratory, along with scientists and engineers at the computer chip manufacturer Diraq, University of Wisconsin-Madison, University of Chicago and Manchester University, have proposed the development of a quantum sensor made of quantum bits called spin qubits in silicon to probe beyond Standard Model physics. Diraq is a global leader in quantum computing technology on silicon, which is essential to the Quandarum project.

Classiq Technologies has reported that its quantum circuit compression tools achieved up to 95% reduction in circuit depth for quantum Monte Carlo simulations in a financial modeling study with Sumitomo Corporation and Mizuho–DL Financial Technology. The project evaluated how Classiq’s platform could support more resource-efficient implementations of Monte Carlo methods used in credit risk analysis.

In collaboration with Hervé Lissek and Romain Fleury at EPFL’s Laboratory of Wave Engineering, Padlewski has built a novel acoustic system for exploring condensed matter and their macroscopic properties, all the while circumventing the extremely sensitive nature that is inherent to quantum phenomena. Moreover, the acoustic system can be tweaked to study properties that go beyond solid-state physics. The results are published in Physical Review B.

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing – both physically and technologically.

The University of Oxford research group led by OQC CSO Dr. Peter Leek today announced research demonstrating a fundamental speedup of the controlled-Z gate in superconducting qubits reaching a fidelity of 99.8% in only 25 ns.

Fujitsu Limited today announced the world’s first demonstration of a complete universal quantum gate set for diamond spin qubits with an error probability below 0.1%, achieving a fidelity among the highest reported over all quantum hardware technologies. This collaboration with QuTech, a leading quantum technology research institute of Delft University of Technology (TU Delft), marks an important step for the diamond spin method towards carrying out quantum error correction and realizing practical quantum computing. The findings were published in Physical Review Applied on March 21, 2025.

The ability to conduct heat is one of the most fundamental properties of matter, crucial for engineering applications. Scientists know well how conventional materials, such as metals and insulators, conduct heat. However, things are not as straightforward under extreme conditions such as temperatures close to absolute zero combined with strong magnetic fields, where strange quantum effects begin to dominate. This is particularly true in the realm of quantum materials. Researchers from the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), University of Bonn, and Centre national de la recherche scientifique (CNRS) now exposed the semimetal zirconium pentatelluride (ZrTe5) to high magnetic fields and very low temperatures. They found dramatically enhanced heat oscillations caused by a novel mechanism. This finding challenges the widely held belief that magnetic quantum oscillations should not be detectable in the heat transport of semimetals, as the scientists report in the journal PNAS.

A study published in JCAP places new limits on quantum gravity using data from the underwater detector KM3NeT.